Goals
We are looking for insightful and thought-provoking papers that address the various roles of software engineering in society. We are especially interested in papers addressing issues around connecting different communities such as scientific communities, industry, academia, disciplines across academia, sub-disciplines across software engineering, under-represented communities, and communities across countries and continents at large. We seek contributions that highlight how software engineering can help with the opportunities and challenges posed by the rapidly accelerating pace of technological advances, including data-driven technologies and LLMs, that are impacting the economic, political, environmental, social, and technical aspects of society.
We would also like to discuss emerging trends in the development of software that is part of larger systems and whose development is tackled within the specific areas listed below. The goal is to investigate the reasons for these trends, to analyze possible novel contributions from the software engineering community, and to identify novel research challenges that these areas pose to software engineering methods and practices.
SEIS Welcomes
- Innovative, inspiring research with a clear impact on software engineering challenges, directions, methods, and tools
- Engagement with a broad spectrum of areas including, but not limited to:
- Diversity and Inclusion
- Diversity and Inclusion (e.g., Intersectional Issues related to gender, race, ethnicity, disability, socioeconomic background, sexual orientation, etc.)., Fostering Inclusion, Allyship, Covering, Privilege, Organizational Culture;
- Designing, Engineering, and Testing Software for Diverse Users;
- Communication and collaboration (e.g., code of conduct, hostile or inappropriate behavior, conflict and resolution, successful and unsuccessful communication or collaboration patterns);
- The impact of data-driven technologies and LLMs on equity, diversity and inclusion;
- Opinion pieces on why diversity and inclusion are important for software engineering;
- Experience reports, reviews, visions and roadmaps on diversity and inclusion
- Software Engineering for Sciences, Design, Arts and Engineering
- Medicine and public health (e.g., Health Informatics, software technologies for aging);
- Physical Sciences (e.g., Computational Chemistry, Genomic, Biotechnologies);
- Environmental Sciences (e.g., Sustainability, Urban Planning, Ecology, Climate Change);
- Social Sciences (e.g., Organizational Psychology, Software Fairness, Regulatory Compliance);
- Management (e.g., socio-technical ecosystems, technical debt, social debt);
- Economics (e.g., Electronic payments, Blockchain technologies);
- Law (e.g., combating and investigating crime, impact on the legal system);
- Manufacturing (e.g., Industry 4.0, smart factory);
- Engineering emerging cyber-physical systems (e.g., autonomous vehicles, smart cities);
- Arts (e.g., Digital Art, Performing Arts) and Crafts (e.g. DIY electronics);
- Design (e.g., Value-sensitive Design, history of cultural change, future of cultural changes);
- Interdisciplinary research (e.g., Cognitive Science, Digital Social Innovation);
- Computing and Engineering (e.g., HCI, AI, Data Science, Distributed Computing);
- Society and societal challenges
- Security and Privacy (e.g., security and privacy preserving software development);
- Ethics (e.g., Responsible AI, Whistleblowing, Free Speech, Gatekeepers, Politics);
- Misinformation (e.g., Recognition, Impeding its Spread, Censorship);
- Work emerging from research partnerships with communities, NGOs, cultural institutions, and the public and private sector;
- Research reflections on the long-term implications of digital technology interventions on all aspects in society (e.g., economics, social, political, environmental, technical);
- Sustainability and UN sustainability goals;
- Research directions towards new development models, tools, and methods for specific application environments;
- Research findings supported by empirical studies and experimentation.
Dates
Tracks
Wed 30 AprDisplayed time zone: Eastern Time (US & Canada) change
Wed 30 Apr
Displayed time zone: Eastern Time (US & Canada) change
11:00 - 12:30 | Formal Methods 1Research Track / New Ideas and Emerging Results (NIER) at 103 Chair(s): Cristian Cadar Imperial College London | ||
11:00 15mTalk | SpecGen: Automated Generation of Formal Program Specifications via Large Language ModelsFormal Methods Research Track Lezhi Ma Nanjing University, Shangqing Liu Nanyang Technological University, Yi Li Nanyang Technological University, Xiaofei Xie Singapore Management University, Lei Bu Nanjing University | ||
11:15 15mTalk | Gpass: a Goal-adaptive Neural Theorem Prover based on Coq for Automated Formal VerificationFormal Methods Research Track Yizhou Chen Peking University, Zeyu Sun Institute of Software, Chinese Academy of Sciences, Guoqing Wang Peking University, Dan Hao Peking University | ||
11:30 15mTalk | AI-Assisted Autoformalization of Combinatorics Problems in Proof AssistantsFormal Methods New Ideas and Emerging Results (NIER) | ||
11:45 15mTalk | Formally Verified Binary-level Pointer AnalysisFormal Methods Research Track Freek Verbeek Open Universiteit & Virginia Tech, Ali Shokri Virginia Tech, Daniel Engel Open University Of The Netherlands, Binoy Ravindran Virginia Tech | ||
12:00 15mTalk | EffBT: An Efficient Behavior Tree Reactive Synthesis and Execution FrameworkFormal Methods Research Track ziji wu National University of Defense Technology, yu huang National University of Defense Technology, peishan huang National University of Defense Technology, shanghua wen National University of Defense Technology, minglong li National University of Defense Technology, Ji Wang National University of Defense Technology | ||
12:15 7mTalk | SolSearch: An LLM-Driven Framework for Efficient SAT-Solving Code GenerationFormal Methods New Ideas and Emerging Results (NIER) Junjie Sheng East China Normal University, Yanqiu Lin East China Normal University, Jiehao Wu East China Normal University, Yanhong Huang East China Normal University, Jianqi Shi East China Normal University, Min Zhang East China Normal University, Xiangfeng Wang East China Normal University | ||
12:22 7mTalk | Listening to the Firehose: Sonifying Z3’s Behavior New Ideas and Emerging Results (NIER) | ||
11:00 - 12:30 | |||
11:00 15mTalk | An Empirical Study on Package-Level Deprecation in Python Ecosystem Research Track Zhiqing Zhong The Chinese University of Hong Kong, Shenzhen (CUHK-Shenzhen), Shilin He Microsoft Research, Haoxuan Wang The Chinese University of Hong Kong, Shenzhen (CUHK-Shenzhen), BoXi Yu The Chinese University of Hong Kong, Shenzhen, Haowen Yang The Chinese University of Hong Kong, Shenzhen (CUHK-Shenzhen), Pinjia He Chinese University of Hong Kong, Shenzhen | ||
11:15 15mTalk | Datalog-Based Language-Agnostic Change Impact Analysis for Microservices Research Track Qingkai Shi Nanjing University, Xiaoheng Xie Ant Group, Xianjin Fu Ant Group, Peng Di Ant Group & UNSW Sydney, Huawei Li Alibaba Inc., Ang Zhou Ant Group, Gang Fan Ant Group | ||
11:30 15mTalk | GenC2Rust: Towards Generating Generic Rust Code from C Research Track | ||
11:45 15mTalk | Instrumentation-Driven Evolution-Aware Runtime Verification Research Track | ||
12:00 15mTalk | Moye: A Wallbreaker for Monolithic Firmware Research Track Jintao Huang Institute of Information Engineering, Chinese Academy of Science & University of Chinese Academy of Sciences, Beijing, China, Kai Yang School of Computer, Electronics and Information, Guangxi University, Gaosheng Wang Institute of Information Engineering, Chinese Academy of Sciences & University of Chinese Academy of Sciences, Beijing, China, Zhiqiang Shi Institute of Information Engineering, Chinese Academy of Sciences & University of Chinese Academy of Sciences, Beijing, China, Zhiwen Pan Institute of Information Engineering, Chinese Academy of Sciences & University of Chinese Academy of Sciences, Beijing, China, Shichao Lv Institute of Information Engineering, Chinese Academy of Science, Limin Sun Institute of Information Engineering, Chinese Academy of Sciences & University of Chinese Academy of Sciences, Beijing, China | ||
12:15 15mTalk | Understanding and Detecting Peer Dependency Resolving Loop in npm Ecosystem Research Track Xingyu Wang Zhejiang University, MingSen Wang Zhejiang University, Wenbo Shen Zhejiang University, Rui Chang Zhejiang University | ||
11:00 - 12:30 | Testing and QA 1Research Track / Journal-first Papers at 205 Chair(s): Jonathan Bell Northeastern University | ||
11:00 15mTalk | Critical Variable State-Aware Directed Greybox Fuzzing Research Track Xu Chen Institute of Information Engineering at Chinese Academy of Sciences, China / University of Chinese Academy of Sciences, China, Ningning Cui Institute of Information Engineering at Chinese Academy of Sciences, China / University of Chinese Academy of Sciences, China, Zhe Pan Institute of Information Engineering at Chinese Academy of Sciences, China / University of Chinese Academy of Sciences, China, Liwei Chen Institute of Information Engineering at Chinese Academy of Sciences; University of Chinese Academy of Sciences, Gang Shi Institute of Information Engineering at Chinese Academy of Sciences; University of Chinese Academy of Sciences, Dan Meng Institute of Information Engineering at Chinese Academy of Sciences; University of Chinese Academy of Sciences | ||
11:15 15mTalk | LWDIFF: An LLM-Assisted Differential Testing Framework for WebAssembly Runtimes Research Track Shiyao Zhou The Hong Kong Polytechnic University, Jincheng Wang Hong Kong Polytechnic University, He Ye University College London (UCL), Hao Zhou The Hong Kong Polytechnic University, Claire Le Goues Carnegie Mellon University, Xiapu Luo Hong Kong Polytechnic University | ||
11:30 15mTalk | No Harness, No Problem: Oracle-guided Harnessing for Auto-generating C API Fuzzing Harnesses Research Track | ||
11:45 15mTalk | Parametric Falsification of Many Probabilistic Requirements under Flakiness Research Track | ||
12:00 15mTalk | REDII: Test Infrastructure to Enable Deterministic Reproduction of Failures for Distributed Systems Research Track Yang Feng Nanjing University, Zheyuan Lin Nanjing University, Dongchen Zhao Nanjing University, Mengbo Zhou Nanjing University, Jia Liu Nanjing University, James Jones University of California at Irvine | ||
12:15 15mTalk | Adopting Automated Bug Assignment in Practice - A Longitudinal Case Study at Ericsson Journal-first Papers Markus Borg CodeScene, Leif Jonsson Ericsson AB, Emelie Engstrom Lund University, Béla Bartalos Verint, Attila Szabo Ericsson | ||
11:00 - 12:30 | Human and Social Process 1SE In Practice (SEIP) / New Ideas and Emerging Results (NIER) / Journal-first Papers at 207 Chair(s): Hausi Müller University of Victoria | ||
11:00 15mTalk | Toward a Theory on Programmer's Block Inspired by Writer's Block Journal-first Papers Belinda Schantong Chemnitz University of Technology, Norbert Siegmund Leipzig University, Janet Siegmund Chemnitz University of Technology Link to publication | ||
11:15 15mTalk | Digital Twins for Software Engineering Processes New Ideas and Emerging Results (NIER) Robin Kimmel University of Stuttgart, Judith Michael University of Regensburg, Andreas Wortmann University of Stuttgart, Jingxi Zhang University of Stuttgart Pre-print | ||
11:30 15mTalk | Discovering Ideologies of the Open Source Software Movement New Ideas and Emerging Results (NIER) Yang Yue California State University San Marcos, Yi Wang Beijing University of Posts and Telecommunications, David Redmiles University of California, Irvine | ||
11:45 15mTalk | Identifying Factors Contributing to ``Bad Days'' for Software Developers: A Mixed-Methods Study SE In Practice (SEIP) Ike Obi Purdue University, West Lafayette, Jenna L. Butler Microsoft Research, Sankeerti Haniyur Microsoft Corporation, Brian Hassan Microsoft Corporation, Margaret-Anne Storey University of Victoria, Brendan Murphy Microsoft Corporation | ||
12:00 15mTalk | Time Warp: The Gap Between Developers’ Ideal vs Actual Workweeks in an AI-Driven EraAward Winner SE In Practice (SEIP) Sukrit Kumar Georgia Institute of Technology, Drishti Goel Microsoft, Thomas Zimmermann University of California, Irvine, Brian Houck Microsoft Research, B. Ashok Microsoft Research. India, Chetan Bansal Microsoft Research | ||
12:15 15mTalk | Wearables to measure developer experience at work SE In Practice (SEIP) Charlotte Brandebusemeyer Hasso Plattner Institute, University of Potsdam, Tobias Schimmer SAP Labs, Bert Arnrich Hasso Plattner Institute, University of Potsdam | ||
11:00 - 12:30 | AI for User ExperienceSE In Practice (SEIP) / Demonstrations / Journal-first Papers / Research Track at 210 Chair(s): Chunyang Chen TU Munich | ||
11:00 15mTalk | Automated Generation of Accessibility Test Reports from Recorded User TranscriptsAward Winner Research Track Syed Fatiul Huq University of California, Irvine, Mahan Tafreshipour University of California at Irvine, Kate Kalcevich Fable Tech Labs Inc., Sam Malek University of California at Irvine | ||
11:15 15mTalk | KuiTest: Leveraging Knowledge in the Wild as GUI Testing Oracle for Mobile Apps SE In Practice (SEIP) Yongxiang Hu Fudan University, Yu Zhang Meituan, Xuan Wang Fudan University, Yingjie Liu School of Computer Science, Fudan University, Shiyu Guo Meituan, Chaoyi Chen Meituan, Xin Wang Fudan University, Yangfan Zhou Fudan University | ||
11:30 15mTalk | GUIWatcher: Automatically Detecting GUI Lags by Analyzing Mobile Application Screencasts SE In Practice (SEIP) Wei Liu Concordia University, Montreal, Canada, Feng Lin Concordia University, Linqiang Guo Concordia University, Tse-Hsun (Peter) Chen Concordia University, Ahmed E. Hassan Queen’s University | ||
11:45 15mTalk | GUIDE: LLM-Driven GUI Generation Decomposition for Automated Prototyping Demonstrations Kristian Kolthoff Institute for Software and Systems Engineering, Clausthal University of Technology, Felix Kretzer human-centered systems Lab (h-lab), Karlsruhe Institute of Technology (KIT) , Christian Bartelt , Alexander Maedche Human-Centered Systems Lab, Karlsruhe Institute of Technology, Simone Paolo Ponzetto Data and Web Science Group, University of Mannheim Pre-print | ||
12:00 15mTalk | Agent for User: Testing Multi-User Interactive Features in TikTok SE In Practice (SEIP) Sidong Feng Monash University, Changhao Du Jilin University, huaxiao liu Jilin University, Qingnan Wang Jilin University, Zhengwei Lv ByteDance, Gang Huo ByteDance, Xu Yang ByteDance, Chunyang Chen TU Munich | ||
12:15 7mTalk | Bug Analysis in Jupyter Notebook Projects: An Empirical Study Journal-first Papers Taijara Santana Federal University of Bahia, Paulo Silveira Neto Federal University Rural of Pernambuco, Eduardo Santana de Almeida Federal University of Bahia, Iftekhar Ahmed University of California at Irvine | ||
11:00 - 12:30 | Testing and SecurityResearch Track / Journal-first Papers at 211 Chair(s): Shiyi Wei University of Texas at Dallas | ||
11:00 15mTalk | Fuzzing MLIR Compilers with Custom Mutation Synthesis Research Track Ben Limpanukorn UCLA, Jiyuan Wang University of California at Los Angeles, Hong Jin Kang University of Sydney, Eric Zitong Zhou UCLA, Miryung Kim UCLA and Amazon Web Services Pre-print | ||
11:15 15mTalk | InSVDF: Interface-State-Aware Virtual Device Fuzzing Research Track Zexiang Zhang National University of Defense Technology, Gaoning Pan Hangzhou Dianzi University, Ruipeng Wang National University of Defense Technology, Yiming Tao Zhejiang University, Zulie Pan National University of Defense Technology, Cheng Tu National University of Defense Technology, Min Zhang National University of Defense Technology, Yang Li National University of Defense Technology, Yi Shen National University of Defense Technology, Chunming Wu Zhejiang University | ||
11:30 15mTalk | Reduce Dependence for Sound Concurrency Bug Prediction Research Track Shihao Zhu State Key Laboratory of Computer Science,Institute of Software,Chinese Academy of Sciences,China, Yuqi Guo Institute of Software, Chinese Academy of Sciences, Yan Cai Institute of Software at Chinese Academy of Sciences, Bin Liang Renmin University of China, Long Zhang Institute of Software, Chinese Academy of Sciences, Rui Chen Beijing Institute of Control Engineering; Beijing Sunwise Information Technology, Tingting Yu Beijing Institute of Control Engineering; Beijing Sunwise Information Technology | ||
11:45 15mTalk | SAND: Decoupling Sanitization from Fuzzing for Low Overhead Research Track Ziqiao Kong Nanyang Technological University, Shaohua Li The Chinese University of Hong Kong, Heqing Huang City University of Hong Kong, Zhendong Su ETH Zurich Link to publication Pre-print Media Attached File Attached | ||
12:00 15mTalk | TransferFuzz: Fuzzing with Historical Trace for Verifying Propagated Vulnerability CodeSecurity Research Track Siyuan Li University of Chinese Academy of Sciences & Institute of Information Engineering Chinese Academy of Sciences, China, Yuekang Li UNSW, Zuxin Chen Institute of Information Engineering Chinese Academy of Sciences & University of Chinese Academy of Sciences, China, Chaopeng Dong Institute of Information Engineering Chinese Academy of Sciences & University of Chinese Academy of Sciences, China, Yongpan Wang University of Chinese Academy of Sciences & Institute of Information Engineering Chinese Academy of Sciences, China, Hong Li Institute of Information Engineering at Chinese Academy of Sciences, Yongle Chen Taiyuan University of Technology, China, Hongsong Zhu Institute of Information Engineering at Chinese Academy of Sciences; University of Chinese Academy of Sciences | ||
12:15 15mTalk | Early and Realistic Exploitability Prediction of Just-Disclosed Software Vulnerabilities: How Reliable Can It Be?Security Journal-first Papers Emanuele Iannone Hamburg University of Technology, Giulia Sellitto University of Salerno, Emanuele Iaccarino University of Salerno, Filomena Ferrucci Università di Salerno, Andrea De Lucia University of Salerno, Fabio Palomba University of Salerno Link to publication DOI Authorizer link Pre-print | ||
11:00 - 12:30 | |||
11:00 15mTalk | A Multiple Representation Transformer with Optimized Abstract Syntax Tree for Efficient Code Clone Detection Research Track TianChen Yu School of Software Engineering, South China University of Technology, Li Yuan School of Software Engineering, South China University of Technology, Guangzhou, China, Liannan Lin School of Software Engineering, South China University of Technology, Hongkui He School of Software Engineering, South China University of Technology | ||
11:15 15mTalk | Can an LLM find its way around a Spreadsheet? Research Track Cho-Ting Lee Virginia Tech, Andrew Neeser Virginia Tech, Shengzhe Xu Virginia Tech, Jay Katyan Virginia Tech, Patrick Cross Virginia Tech, Sharanya Pathakota Virginia Tech, Marigold Norman World Forest ID, John C. Simeone Simeone Consulting, LLC, Jaganmohan Chandrasekaran Virginia Tech, Naren Ramakrishnan Virginia Tech | ||
11:30 15mTalk | QEDCartographer: Automating Formal Verification Using Reward-Free Reinforcement Learning Research Track Alex Sanchez-Stern University of Massachusetts at Amherst, Abhishek Varghese University of Massachusetts, Zhanna Kaufman University of Massachusetts, Shizhuo Zhang University of Illinois Urbana-Champaign, Talia Lily Ringer University of Illinois Urbana-Champaign, Yuriy Brun University of Massachusetts Link to publication Pre-print | ||
11:45 15mTalk | TIGER: A Generating-Then-Ranking Framework for Practical Python Type Inference Research Track Chong Wang Nanyang Technological University, Jian Zhang Nanyang Technological University, Yiling Lou Fudan University, Mingwei Liu Fudan University, Weisong Sun Nanyang Technological University, Yang Liu Nanyang Technological University, Xin Peng Fudan University | ||
12:00 15mTalk | ROCODE: Integrating Backtracking Mechanism and Program Analysis in Large Language Models for Code Generation Research Track Xue Jiang , Yihong Dong Peking University, Yongding Tao University of Electronic Science and Technology of China, Huanyu Liu Xidian University, Zhi Jin Peking University, Ge Li Peking University | ||
12:15 15mTalk | Rango: Adaptive Retrieval-Augmented Proving for Automated Software Verification Research Track Kyle Thompson University of California, San Diego, Nuno Saavedra INESC-ID and IST, University of Lisbon, Pedro Carrott Imperial College London, Kevin Fisher University of California San Diego, Alex Sanchez-Stern University of Massachusetts, Yuriy Brun University of Massachusetts, João F. Ferreira INESC-ID and IST, University of Lisbon, Sorin Lerner University of California at San Diego, Emily First University of California, San Diego Link to publication Pre-print File Attached | ||
11:00 - 12:30 | AutonomyResearch Track at 213 Chair(s): Lionel Briand University of Ottawa, Canada; Lero centre, University of Limerick, Ireland | ||
11:00 15mTalk | A Differential Testing Framework to Identify Critical AV Failures Leveraging Arbitrary Inputs Research Track Trey Woodlief University of Virginia, Carl Hildebrandt University of Virginia, Sebastian Elbaum University of Virginia | ||
11:15 15mTalk | Automating a Complete Software Test Process Using LLMs: An Automotive Case Study Research Track Shuai Wang , Yinan Yu Chalmers University of Technology, Robert Feldt Chalmers | University of Gothenburg, Dhasarathy Parthasarathy Volvo Group Pre-print | ||
11:30 15mTalk | LLM-Agents Driven Automated Simulation Testing and Analysis of small Uncrewed Aerial Systems Research Track Venkata Sai Aswath Duvvuru Saint Louis University, Bohan Zhang Saint Louis University, Missouri, Michael Vierhauser University of Innsbruck, Ankit Agrawal Saint Louis University, Missouri Pre-print Media Attached | ||
11:45 15mTalk | Efficient Domain Augmentation for Autonomous Driving Testing Using Diffusion Models Research Track Luciano Baresi Politecnico di Milano, Davide Yi Xian Hu Politecnico di Milano, Andrea Stocco Technical University of Munich, fortiss, Paolo Tonella USI Lugano Pre-print | ||
12:00 15mTalk | GARL: Genetic Algorithm-Augmented Reinforcement Learning to Detect Violations in Marker-Based Autonomous Landing Systems Research Track Linfeng Liang Macquarie University, Yao Deng Macquarie University, Kye Morton Skyy Network, Valtteri Kallinen Skyy Network, Alice James Macquarie University, Avishkar Seth Macquarie University, Endrowednes Kuantama Macquarie University, Subhas Mukhopadhyay Macquarie University, Richard Han Macquarie University, Xi Zheng Macquarie University | ||
12:15 15mTalk | Decictor: Towards Evaluating the Robustness of Decision-Making in Autonomous Driving Systems Research Track Mingfei Cheng Singapore Management University, Xiaofei Xie Singapore Management University, Yuan Zhou Zhejiang Sci-Tech University, Junjie Wang Tianjin University, Guozhu Meng Institute of Information Engineering, Chinese Academy of Sciences, Kairui Yang DAMO Academy, Alibaba Group, China | ||
11:00 - 12:30 | SE for AI 1New Ideas and Emerging Results (NIER) / SE In Practice (SEIP) / Research Track at 215 Chair(s): Houari Sahraoui DIRO, Université de Montréal | ||
11:00 15mTalk | A Test Oracle for Reinforcement Learning Software based on Lyapunov Stability Control TheorySE for AI Research Track Shiyu Zhang The Hong Kong Polytechnic University, Haoyang Song The Hong Kong Polytechnic University, Qixin Wang The Hong Kong Polytechnic University, Henghua Shen The Hong Kong Polytechnic University, Yu Pei The Hong Kong Polytechnic University | ||
11:15 15mTalk | CodeImprove: Program Adaptation for Deep Code ModelsSE for AI Research Track | ||
11:30 15mTalk | FairQuant: Certifying and Quantifying Fairness of Deep Neural NetworksSE for AI Research Track Brian Hyeongseok Kim University of Southern California, Jingbo Wang University of Southern California, Chao Wang University of Southern California Pre-print | ||
11:45 15mTalk | When in Doubt Throw It out: Building on Confident Learning for Vulnerability DetectionSecurity New Ideas and Emerging Results (NIER) Yuanjun Gong Renmin University of China, Fabio Massacci University of Trento; Vrije Universiteit Amsterdam Pre-print File Attached | ||
12:00 15mTalk | Evaluation of Tools and Frameworks for Machine Learning Model ServingSE for AI SE In Practice (SEIP) Niklas Beck Fraunhofer Institute for Intelligent Analysis and Information Systems IAIS, Benny Stein Fraunhofer Institute for Intelligent Analysis and Information Systems IAIS, Dennis Wegener T-Systems International GmbH, Lennard Helmer Fraunhofer Institute for Intelligent Analysis and Information Systems | ||
12:15 15mTalk | Real-time Adapting Routing (RAR): Improving Efficiency Through Continuous Learning in Software Powered by Layered Foundation ModelsSE for AI SE In Practice (SEIP) Kirill Vasilevski Huawei Canada, Dayi Lin Centre for Software Excellence, Huawei Canada, Ahmed E. Hassan Queen’s University Pre-print File Attached | ||
11:00 - 12:30 | |||
11:00 15mTalk | Calibration and Correctness of Language Models for Code Research Track Claudio Spiess University of California, Davis, David Gros University of California, Davis, Kunal Suresh Pai UC Davis, Michael Pradel University of Stuttgart, Rafiqul Rabin UL Research Institutes, Amin Alipour University of Houston, Susmit Jha SRI, Prem Devanbu University of California at Davis, Toufique Ahmed IBM Research Pre-print | ||
11:15 15mTalk | An Empirical Study on Commit Message Generation using LLMs via In-Context Learning Research Track Yifan Wu Peking University, Yunpeng Wang Ant Group, Ying Li School of Software and Microelectronics, Peking University, Beijing, China, Wei Tao Independent Researcher, Siyu Yu The Chinese University of Hong Kong, Shenzhen (CUHK-Shenzhen), Haowen Yang The Chinese University of Hong Kong, Shenzhen (CUHK-Shenzhen), Wei Jiang , Jianguo Li Ant Group Pre-print | ||
11:30 15mTalk | Instruct or Interact? Exploring and Eliciting LLMs’ Capability in Code Snippet Adaptation Through Prompt Engineering Research Track Tanghaoran Zhang National University of Defense Technology, Yue Yu PengCheng Lab, Xinjun Mao National University of Defense Technology, Shangwen Wang National University of Defense Technology, Kang Yang National University of Defense Technology, Yao Lu National University of Defense Technology, Zhang Zhang Key Laboratory of Software Engineering for Complex Systems, National University of Defense Technology, Yuxin Zhao Key Laboratory of Software Engineering for Complex Systems, National University of Defense Technology | ||
11:45 15mTalk | Search-Based LLMs for Code OptimizationAward Winner Research Track Shuzheng Gao The Chinese University of Hong Kong, Cuiyun Gao Harbin Institute of Technology, Wenchao Gu The Chinese University of Hong Kong, Michael Lyu The Chinese University of Hong Kong | ||
12:00 15mTalk | Towards Better Answers: Automated Stack Overflow Post Updating Research Track Yubo Mai Zhejiang University, Zhipeng Gao Shanghai Institute for Advanced Study - Zhejiang University, Haoye Wang Hangzhou City University, Tingting Bi The University of Melbourne, Xing Hu Zhejiang University, Xin Xia Huawei, JianLing Sun Zhejiang University | ||
12:15 15mTalk | Unseen Horizons: Unveiling the Real Capability of LLM Code Generation Beyond the FamiliarAward Winner Research Track Yuanliang Zhang National University of Defense Technology, Yifan Xie , Shanshan Li National University of Defense Technology, Ke Liu , Chong Wang National University of Defense Technology, Zhouyang Jia National University of Defense Technology, Xiangbing Huang National University of Defense Technology, Jie Song National University of Defense Technology, Chaopeng Luo National University of Defense Technology, Zhizheng Zheng National University of Defense Technology, Rulin Xu National University of Defense Technology, Yitong Liu National University of Defense Technology, Si Zheng National University of Defense Technology, Liao Xiangke National University of Defense Technology | ||
13:30 - 14:00 | Wed Lunch Posters 13:30-14:00Research Track / Journal-first Papers / New Ideas and Emerging Results (NIER) at Canada Hall 3 Poster Area | ||
13:30 30mPoster | Pattern-based Generation and Adaptation of Quantum WorkflowsQuantum Research Track Martin Beisel Institute of Architecture of Application Systems (IAAS), University of Stuttgart, Johanna Barzen University of Stuttgart, Frank Leymann University of Stuttgart, Lavinia Stiliadou Institute of Architecture of Application Systems (IAAS), University of Stuttgart, Daniel Vietz University of Stuttgart, Benjamin Weder Institute of Architecture of Application Systems (IAAS), University of Stuttgart | ||
13:30 30mTalk | Mole: Efficient Crash Reproduction in Android Applications With Enforcing Necessary UI Events Journal-first Papers Maryam Masoudian Sharif University of Technology, Hong Kong University of Science and Technology (HKUST), Heqing Huang City University of Hong Kong, Morteza Amini Sharif University of Technology, Charles Zhang Hong Kong University of Science and Technology | ||
13:30 30mTalk | Automated Testing Linguistic Capabilities of NLP Models Journal-first Papers Jaeseong Lee The University of Texas at Dallas, Simin Chen University of Texas at Dallas, Austin Mordahl University of Illinois Chicago, Cong Liu University of California, Riverside, Wei Yang UT Dallas, Shiyi Wei University of Texas at Dallas | ||
13:30 30mPoster | BSan: A Powerful Identifier-Based Hardware-Independent Memory Error Detector for COTS Binaries Research Track Wen Zhang University of Georgia, Botang Xiao University of Georgia, Qingchen Kong University of Georgia, Le Guan University of Georgia, Wenwen Wang University of Georgia | ||
13:30 30mTalk | A Unit Proofing Framework for Code-level Verification: A Research AgendaFormal Methods New Ideas and Emerging Results (NIER) Paschal Amusuo Purdue University, Parth Vinod Patil Purdue University, Owen Cochell Michigan State University, Taylor Le Lievre Purdue University, James C. Davis Purdue University Pre-print | ||
13:30 30mTalk | Listening to the Firehose: Sonifying Z3’s Behavior New Ideas and Emerging Results (NIER) | ||
13:30 30mTalk | Towards Early Warning and Migration of High-Risk Dormant Open-Source Software DependenciesSecurity New Ideas and Emerging Results (NIER) Zijie Huang Shanghai Key Laboratory of Computer Software Testing and Evaluation, Lizhi Cai Shanghai Key Laboratory of Computer Software Testing & Evaluating, Shanghai Software Center, Xuan Mao Department of Computer Science and Engineering, East China University of Science and Technology, Shanghai, China, Kang Yang Shanghai Key Laboratory of Computer Software Testing and Evaluating, Shanghai Development Center of Computer Software Technology | ||
13:30 30mPoster | SimClone: Detecting Tabular Data Clones using Value Similarity Journal-first Papers Xu Yang University of Manitoba, Gopi Krishnan Rajbahadur Centre for Software Excellence, Huawei, Canada, Dayi Lin Centre for Software Excellence, Huawei Canada, Shaowei Wang University of Manitoba, Zhen Ming (Jack) Jiang York University | ||
13:30 30mTalk | SolSearch: An LLM-Driven Framework for Efficient SAT-Solving Code GenerationFormal Methods New Ideas and Emerging Results (NIER) Junjie Sheng East China Normal University, Yanqiu Lin East China Normal University, Jiehao Wu East China Normal University, Yanhong Huang East China Normal University, Jianqi Shi East China Normal University, Min Zhang East China Normal University, Xiangfeng Wang East China Normal University | ||
16:00 - 17:30 | Formal Methods 2Research Track / New Ideas and Emerging Results (NIER) / Journal-first Papers at 103 Chair(s): Yi Li Nanyang Technological University | ||
16:00 15mTalk | ConsCS: Effective and Efficient Verification of Circom CircuitsFormal Methods Research Track Jinan Jiang The Hong Kong Polytechnic University, Xinghao Peng , Jinzhao Chu The Hong Kong Polytechnic University, Xiapu Luo Hong Kong Polytechnic University | ||
16:15 15mTalk | Constrained LTL Specification Learning from ExamplesFormal Methods Research Track Changjian Zhang Carnegie Mellon University, Parv Kapoor Carnegie Mellon University, Ian Dardik Carnegie Mellon University, Leyi Cui Columbia University, Romulo Meira-Goes The Pennsylvania State University, David Garlan Carnegie Mellon University, Eunsuk Kang Carnegie Mellon University | ||
16:30 15mTalk | LLM-aided Automatic Modeling for Security Protocol VerificationSecurityFormal Methods Research Track Ziyu Mao Zhejiang University, Jingyi Wang Zhejiang University, Jun Sun Singapore Management University, Shengchao Qin Xidian University, Jiawen Xiong East China Normal University | ||
16:45 15mTalk | Model Assisted Refinement of Metamorphic Relations for Scientific SoftwareFormal Methods New Ideas and Emerging Results (NIER) Clay Stevens Iowa State University, Katherine Kjeer Iowa State University, Ryan Richard Iowa State University, Edward Valeev Virginia Tech, Myra Cohen Iowa State University | ||
17:00 15mTalk | Precisely Extracting Complex Variable Values from Android AppsFormal Methods Journal-first Papers | ||
17:15 7mTalk | A Unit Proofing Framework for Code-level Verification: A Research AgendaFormal Methods New Ideas and Emerging Results (NIER) Paschal Amusuo Purdue University, Parth Vinod Patil Purdue University, Owen Cochell Michigan State University, Taylor Le Lievre Purdue University, James C. Davis Purdue University Pre-print | ||
17:22 7mTalk | Automated Testing Linguistic Capabilities of NLP Models Journal-first Papers Jaeseong Lee The University of Texas at Dallas, Simin Chen University of Texas at Dallas, Austin Mordahl University of Illinois Chicago, Cong Liu University of California, Riverside, Wei Yang UT Dallas, Shiyi Wei University of Texas at Dallas | ||
16:00 - 17:30 | Databases and BusinessResearch Track / SE In Practice (SEIP) / Demonstrations / Journal-first Papers at 104 Chair(s): Lu Xiao Stevens Institute of Technology | ||
16:00 15mTalk | Optimization of Automated and Manual Software Tests in Industrial Practice: A Survey and Historical Analysis Journal-first Papers Roman Haas Saarland University; CQSE, Raphael Nömmer Saarbr�cken Graduate School of Computer Science, CQSE, Elmar Juergens CQSE GmbH, Sven Apel Saarland University Link to publication Pre-print | ||
16:15 15mTalk | A-COBREX : A Tool for Identifying Business Rules in COBOL Programs Demonstrations Samveg Shah Indian Institute of Technology, Tirupati, Shivali Agarwal IBM, Saravanan Krishnan IBM India Research Lab, Vini Kanvar IBM Research, Sridhar Chimalakonda Indian Institute of Technology Tirupati | ||
16:30 15mTalk | Thanos: DBMS Bug Detection via Storage Engine Rotation Based Differential TestingAward Winner Research Track Ying Fu National University of Defense Technology, Zhiyong Wu Tsinghua University, China, Yuanliang Zhang National University of Defense Technology, Jie Liang , Jingzhou Fu School of Software, Tsinghua University, Yu Jiang Tsinghua University, Shanshan Li National University of Defense Technology, Liao Xiangke National University of Defense Technology | ||
16:45 15mTalk | Coni: Detecting Database Connector Bugs via State-Aware Test Case Generation Research Track Wenqian Deng Tsinghua University, Zhiyong Wu Tsinghua University, China, Jie Liang , Jingzhou Fu School of Software, Tsinghua University, Mingzhe Wang Tsinghua University, Yu Jiang Tsinghua University | ||
17:00 15mTalk | Puppy: Finding Performance Degradation Bugs in DBMSs via Limited-Optimization Plan Construction Research Track Zhiyong Wu Tsinghua University, China, Jie Liang , Jingzhou Fu School of Software, Tsinghua University, Mingzhe Wang Tsinghua University, Yu Jiang Tsinghua University | ||
17:15 15mTalk | Safe Validation of Pricing Agreements SE In Practice (SEIP) John C. Kolesar Yale University, Tancrède Lepoint Amazon, Martin Schäf Amazon Web Services, Willem Visser Amazon Web Services | ||
16:00 - 17:30 | Testing and QA 2Journal-first Papers at 205 Chair(s): Andreas Zeller CISPA Helmholtz Center for Information Security | ||
16:00 15mTalk | EpiTESTER: Testing Autonomous Vehicles with Epigenetic Algorithm and Attention Mechanism Journal-first Papers Chengjie Lu Simula Research Laboratory and University of Oslo, Shaukat Ali Simula Research Laboratory and Oslo Metropolitan University, Tao Yue Beihang University | ||
16:15 15mTalk | GenMorph: Automatically Generating Metamorphic Relations via Genetic Programming Journal-first Papers Jon Ayerdi Mondragon University, Valerio Terragni University of Auckland, Gunel Jahangirova King's College London, Aitor Arrieta Mondragon University, Paolo Tonella USI Lugano | ||
16:30 15mTalk | Guess the State: Exploiting Determinism to Improve GUI Exploration Efficiency Journal-first Papers Diego Clerissi University of Milano-Bicocca, Giovanni Denaro University of Milano - Bicocca, Marco Mobilio University of Milano Bicocca, Leonardo Mariani University of Milano-Bicocca | ||
16:45 15mTalk | Runtime Verification and Field-based Testing for ROS-based Robotic Systems Journal-first Papers Ricardo Caldas Gran Sasso Science Institute (GSSI), Juan Antonio Piñera García Gran Sasso Science Institute, Matei Schiopu Chalmers | Gothenburg University, Patrizio Pelliccione Gran Sasso Science Institute, L'Aquila, Italy, Genaína Nunes Rodrigues University of Brasília, Thorsten Berger Ruhr University Bochum Link to publication DOI | ||
17:00 15mTalk | Towards Effectively Testing Machine Translation Systems from White-Box Perspectives Journal-first Papers Hanying Shao University of Waterloo, Zishuo Ding The Hong Kong University of Science and Technology (Guangzhou), Weiyi Shang University of Waterloo, Jinqiu Yang Concordia University, Nikolaos Tsantalis Concordia University | ||
17:15 15mTalk | Using Knowledge Units of Programming Languages to Recommend Reviewers for Pull Requests: An Empirical Study Journal-first Papers Md Ahasanuzzaman Queen's University, Gustavo A. Oliva Queen's University, Ahmed E. Hassan Queen’s University, Md Ahasanuzzaman Queen's University | ||
16:00 - 17:45 | Human and Social 1SE in Society (SEIS) / SE In Practice (SEIP) at 206 plus 208 Chair(s): Yvonne Dittrich IT University of Copenhagen, Denmark | ||
16:00 15mTalk | Systematizing Inclusive Design in MOSIP: An Experience Report SE In Practice (SEIP) Soumiki Chattopadhyay Oregon State University, Amreeta Chatterjee Oregon State University, Puja Agarwal Oregon State University, Bianca Trinkenreich Colorado State University, Swarathmika Kumar MOSIP-IIIT Bangalore, Rohit Ranjan Rai MOSIP-IIIT Bangalore, Resham Chugani MOSIP-IIIT Bangalore, Pragya Kumari MOSIP-IIIT Bangalore, Margaret Burnett Oregon State University, Anita Sarma Oregon State University Pre-print | ||
16:15 15mTalk | A Collaborative Framework for Cross-Domain Scientific Experiments for Society 5.0 SE in Society (SEIS) Muhammad Mainul Hossain University of Saskatchewan, Banani Roy University of Saskatchewan, Chanchal K. Roy University of Saskatchewan, Kevin Schneider University of Saskatchewan | ||
16:30 15mTalk | A First Look at AI Trends in Value-Aligned Software Engineering Publications: Human-LLM Insights SE in Society (SEIS) Ahmad Azarnik Universiti Teknologi Malaysia, Davoud Mougouei , Mahdi Fahmideh University of Southern Queensland, Elahe Mougouei Islamic Azad University Najafabad, Hoa Khanh Dam University of Wollongong, Arif Ali Khan University of Oulu, Saima Rafi Edinburgh Napier University, Javed Ali Khan University of Hertforshire Hertfordshire, UK, Aakash Ahmad School of Computing and Communications, Lancaster University Leipzig, Leipzig, Germany Link to publication | ||
16:45 15mTalk | From Expectation to Habit: Why Do Software Practitioners Adopt Fairness Toolkits? SE in Society (SEIS) Gianmario Voria University of Salerno, Stefano Lambiase University of Salerno, Maria Concetta Schiavone University of Salerno, Gemma Catolino University of Salerno, Fabio Palomba University of Salerno Pre-print | ||
17:00 15mTalk | Not real or too soft? On the challenges of publishing interdisciplinary software engineering research SE in Society (SEIS) Sonja Hyrynsalmi LUT University, Grischa Liebel Reykjavik University, Ronnie de Souza Santos University of Calgary, Sebastian Baltes University of Bayreuth Pre-print | ||
17:15 15mTalk | What is unethical about software? User perceptions in the Netherlands SE in Society (SEIS) Yagil Elias Vrije Universiteit Amsterdam, Tom P Humbert Vrije Universiteit Amsterdam, Lauren Olson Vrije Universiteit Amsterdam, Emitzá Guzmán Vrije Universiteit Amsterdam Pre-print | ||
16:00 - 17:30 | Human and Social Process 2Journal-first Papers / Research Track at 207 Chair(s): Armstrong Foundjem École Polytechnique de Montréal | ||
16:00 15mTalk | An Empirical Study on Developers' Shared Conversations with ChatGPT in GitHub Pull Requests and Issues Journal-first Papers Huizi Hao Queen's University, Canada, Kazi Amit Hasan Queen's University, Canada, Hong Qin Queen's University, Marcos Macedo Queen's University, Yuan Tian Queen's University, Kingston, Ontario, Ding Steven, H., H. Queen’s University at Kingston, Ahmed E. Hassan Queen’s University | ||
16:15 15mTalk | Who’s Pushing the Code: An Exploration of GitHub Impersonation Research Track Yueke Zhang Vanderbilt University, Anda Liang Vanderbilt University, Xiaohan Wang Vanderbilt University, Pamela J. Wisniewski Vanderbilt University, Fengwei Zhang Southern University of Science and Technology, Kevin Leach Vanderbilt University, Yu Huang Vanderbilt University | ||
16:30 15mTalk | Understanding Real-time Collaborative Programming: a Study of Visual Studio Live Share Journal-first Papers Xin Tan Beihang University, Xinyue Lv Beihang University, Jing Jiang Beihang University, Li Zhang Beihang University | ||
16:45 15mTalk | Characterizing the Prevalence, Distribution, and Duration of Stale Reviewer Recommendations Journal-first Papers Farshad Kazemi University of Waterloo, Maxime Lamothe Polytechnique Montreal, Shane McIntosh University of Waterloo | ||
17:00 15mTalk | Diversity's Double-Edged Sword: Analyzing Race's Effect on Remote Pair Programming Interactions Journal-first Papers | ||
17:15 7mTalk | Investigating the Impact of Interpersonal Challenges on Feeling Welcome in OSS Research Track Bianca Trinkenreich Colorado State University, Zixuan Feng Oregon State University, USA, Rudrajit Choudhuri Oregon State University, Marco Gerosa Northern Arizona University, Anita Sarma Oregon State University, Igor Steinmacher NAU RESHAPE LAB Pre-print | ||
16:00 - 17:30 | |||
16:00 15mTalk | Understanding the Effectiveness of Coverage Criteria for Large Language Models: A Special Angle from Jailbreak AttacksSecuritySE for AI Research Track shide zhou Huazhong University of Science and Technology, Li Tianlin NTU, Kailong Wang Huazhong University of Science and Technology, Yihao Huang NTU, Ling Shi Nanyang Technological University, Yang Liu Nanyang Technological University, Haoyu Wang Huazhong University of Science and Technology | ||
16:15 15mTalk | Diversity Drives Fairness: Ensemble of Higher Order Mutants for Intersectional Fairness of Machine Learning SoftwareSecuritySE for AI Research Track Zhenpeng Chen Nanyang Technological University, Xinyue Li Peking University, Jie M. Zhang King's College London, Federica Sarro University College London, Yang Liu Nanyang Technological University Pre-print | ||
16:30 15mTalk | HIFI: Explaining and Mitigating Algorithmic Bias through the Lens of Game-Theoretic InteractionsSecuritySE for AI Research Track Lingfeng Zhang East China Normal University, Zhaohui Wang Software Engineering Institute, East China Normal University, Yueling Zhang East China Normal University, Min Zhang East China Normal University, Jiangtao Wang Software Engineering Institute, East China Normal University | ||
16:45 15mTalk | Towards More Trustworthy Deep Code Models by Enabling Out-of-Distribution DetectionSecuritySE for AI Research Track Yanfu Yan William & Mary, Viet Duong William & Mary, Huajie Shao College of William & Mary, Denys Poshyvanyk William & Mary | ||
17:00 15mTalk | FairSense: Long-Term Fairness Analysis of ML-Enabled SystemsSecuritySE for AI Research Track Yining She Carnegie Mellon University, Sumon Biswas Carnegie Mellon University, Christian Kästner Carnegie Mellon University, Eunsuk Kang Carnegie Mellon University | ||
16:00 - 17:30 | AI for Analysis 2Research Track / Journal-first Papers at 212 Chair(s): Julia Rubin The University of British Columbia | ||
16:00 15mTalk | Neurosymbolic Modular Refinement Type Inference Research Track Georgios Sakkas UC San Diego, Pratyush Sahu UC San Diego, Kyeling Ong University of California, San Diego, Ranjit Jhala University of California at San Diego | ||
16:15 15mTalk | An Empirical Study on Automatically Detecting AI-Generated Source Code: How Far Are We? Research Track Hyunjae Suh University of California, Irvine, Mahan Tafreshipour University of California at Irvine, Jiawei Li University of California Irvine, Adithya Bhattiprolu University of California, Irvine, Iftekhar Ahmed University of California at Irvine | ||
16:30 15mTalk | Planning a Large Language Model for Static Detection of Runtime Errors in Code Snippets Research Track Smit Soneshbhai Patel University of Texas at Dallas, Aashish Yadavally University of Texas at Dallas, Hridya Dhulipala University of Texas at Dallas, Tien N. Nguyen University of Texas at Dallas | ||
16:45 15mTalk | LLMs Meet Library Evolution: Evaluating Deprecated API Usage in LLM-based Code Completion Research Track Chong Wang Nanyang Technological University, Kaifeng Huang Tongji University, Jian Zhang Nanyang Technological University, Yebo Feng Nanyang Technological University, Lyuye Zhang Nanyang Technological University, Yang Liu Nanyang Technological University, Xin Peng Fudan University | ||
17:00 15mTalk | Knowledge-Enhanced Program Repair for Data Science Code Research Track Shuyin Ouyang King's College London, Jie M. Zhang King's College London, Zeyu Sun Institute of Software, Chinese Academy of Sciences, Albert Merono Penuela King's College London | ||
17:15 7mTalk | SparseCoder: Advancing Source Code Analysis with Sparse Attention and Learned Token Pruning Journal-first Papers Xueqi Yang North Carolina State University, Mariusz Jakubowski Microsoft, Li Kang Microsoft, Haojie Yu Microsoft, Tim Menzies North Carolina State University Link to publication DOI | ||
16:00 - 17:30 | AI for Program Comprehension 1Research Track at 213 Chair(s): Yintong Huo Singapore Management University, Singapore | ||
16:00 15mTalk | ADAMAS: Adaptive Domain-Aware Performance Anomaly Detection in Cloud Service Systems Research Track Wenwei Gu The Chinese University of Hong Kong, Jiazhen Gu Chinese University of Hong Kong, Jinyang Liu Chinese University of Hong Kong, Zhuangbin Chen Sun Yat-sen University, Jianping Zhang The Chinese University of Hong Kong, Jinxi Kuang The Chinese University of Hong Kong, Cong Feng Huawei Cloud Computing Technology, Yongqiang Yang Huawei Cloud Computing Technology, Michael Lyu The Chinese University of Hong Kong | ||
16:15 15mTalk | LibreLog: Accurate and Efficient Unsupervised Log Parsing Using Open-Source Large Language Models Research Track Zeyang Ma Concordia University, Dong Jae Kim DePaul University, Tse-Hsun (Peter) Chen Concordia University | ||
16:30 15mTalk | Model Editing for LLMs4Code: How Far are We? Research Track Xiaopeng Li National University of Defense Technology, Shangwen Wang National University of Defense Technology, Shasha Li National University of Defense Technology, Jun Ma National University of Defense Technology, Jie Yu National University of Defense Technology, Xiaodong Liu National University of Defense Technology, Jing Wang National University of Defense Technology, Bin Ji National University of Defense Technology, Weimin Zhang National University of Defense Technology Pre-print | ||
16:45 15mTalk | Software Model Evolution with Large Language Models: Experiments on Simulated, Public, and Industrial Datasets Research Track Christof Tinnes Saarland University, Alisa Carla Welter Saarland University, Sven Apel Saarland University Pre-print | ||
17:00 15mTalk | SpecRover: Code Intent Extraction via LLMs Research Track Haifeng Ruan National University of Singapore, Yuntong Zhang National University of Singapore, Abhik Roychoudhury National University of Singapore | ||
17:15 15mTalk | Unleashing the True Potential of Semantic-based Log Parsing with Pre-trained Language Models Research Track | ||
16:00 - 17:30 | Analysis 1Research Track / SE In Practice (SEIP) / Journal-first Papers at 215 Chair(s): Antonio Filieri AWS and Imperial College London | ||
16:00 15mTalk | SUPERSONIC: Learning to Generate Source Code Optimizations in C/C++ Journal-first Papers Zimin Chen KTH Royal Institute of Technology, Sen Fang North Carolina State University, Martin Monperrus KTH Royal Institute of Technology | ||
16:15 15mTalk | An Extensive Empirical Study of Nondeterministic Behavior in Static Analysis Tools Research Track Miao Miao The University of Texas at Dallas, Austin Mordahl University of Illinois Chicago, Dakota Soles The University of Texas at Dallas, Alice Beideck The University of Texas at Dallas, Shiyi Wei University of Texas at Dallas | ||
16:30 15mTalk | Interactive Cross-Language Pointer Analysis for Resolving Native Code in Java Programs Research Track Chenxi Zhang Nanjing University, Yufei Liang Nanjing University, Tian Tan Nanjing University, Chang Xu Nanjing University, Shuangxiang Kan UNSW, Yulei Sui University of New South Wales, Yue Li Nanjing University | ||
16:45 15mTalk | Execution Trace Reconstruction Using Diffusion-Based Generative Models Research Track Madeline Janecek Brock University, Naser Ezzati Jivan , Wahab Hamou-Lhadj Concordia University, Montreal, Canada | ||
17:00 15mTalk | Static Analysis of Remote Procedure Call in Java Programs Research Track Baoquan Cui Institute of Software at Chinese Academy of Sciences, China, RongQu State Key Laboratory of Computer Science, Institute of Software Chinese Academy of Sciences, University of Chinese Academy of Sciences, Beijing, China, Zhen Tang Key Laboratory of System Software (Chinese Academy of Sciences), State Key Laboratory of Computer Science, Institute of Software Chinese Academy of Sciences, University of Chinese Academy of Sciences, Beijing, China, Jian Zhang Institute of Software at Chinese Academy of Sciences; University of Chinese Academy of Sciences | ||
17:15 15mTalk | ArkAnalyzer: The Static Analysis Framework for OpenHarmony SE In Practice (SEIP) chenhaonan Beihang University, Daihang Chen Beihang University, Yizhuo Yang Beihang University, Lingyun Xu Huawei, Liang Gao Huawei, Mingyi Zhou Monash University, Chunming Hu Beihang University, Li Li Beihang University | ||
16:00 - 17:30 | AI for SE 2Research Track / Journal-first Papers at Canada Hall 1 and 2 Chair(s): Tingting Yu University of Connecticut | ||
16:00 15mTalk | Large Language Models for Safe Minimization Research Track Aashish Yadavally University of Texas at Dallas, Xiaokai Rong The University of Texas at Dallas, Phat Nguyen The University of Texas at Dallas, Tien N. Nguyen University of Texas at Dallas | ||
16:15 15mTalk | LUNA: A Model-Based Universal Analysis Framework for Large Language Models Journal-first Papers Da Song University of Alberta, Xuan Xie University of Alberta, Jiayang Song University of Alberta, Derui Zhu Technical University of Munich, Yuheng Huang University of Alberta, Canada, Felix Juefei-Xu New York University, Lei Ma The University of Tokyo & University of Alberta, Yuheng Huang University of Alberta, Canada | ||
16:30 15mTalk | Intention is All You Need: Refining Your Code from Your Intention Research Track Qi Guo Tianjin University, Xiaofei Xie Singapore Management University, Shangqing Liu Nanyang Technological University, Ming Hu Nanyang Technological University, Xiaohong Li Tianjin University, Lei Bu Nanjing University | ||
16:45 15mTalk | RLCoder: Reinforcement Learning for Repository-Level Code Completion Research Track Yanlin Wang Sun Yat-sen University, Yanli Wang Sun Yat-sen University, Daya Guo , Jiachi Chen Sun Yat-sen University, Ruikai Zhang Huawei Cloud Computing Technologies, Yuchi Ma Huawei Cloud Computing Technologies, Zibin Zheng Sun Yat-sen University | ||
17:00 15mTalk | InterTrans: Leveraging Transitive Intermediate Translations to Enhance LLM-based Code Translation Research Track Marcos Macedo Queen's University, Yuan Tian Queen's University, Kingston, Ontario, Pengyu Nie University of Waterloo, Filipe Cogo Centre for Software Excellence, Huawei Canada, Bram Adams Queen's University | ||
17:15 15mTalk | Toward a Theory of Causation for Interpreting Neural Code Models Journal-first Papers David Nader Palacio William & Mary, Alejandro Velasco William & Mary, Nathan Cooper William & Mary, Alvaro Rodriguez Universidad Nacional de Colombia, Kevin Moran University of Central Florida, Denys Poshyvanyk William & Mary Link to publication DOI Pre-print | ||
Thu 1 MayDisplayed time zone: Eastern Time (US & Canada) change
Thu 1 May
Displayed time zone: Eastern Time (US & Canada) change
10:30 - 11:00 | Thu Morning Break Posters 10:30-11Research Track / New Ideas and Emerging Results (NIER) / Demonstrations / Journal-first Papers at Canada Hall 3 Poster Area | ||
10:30 30mPoster | Pattern-based Generation and Adaptation of Quantum WorkflowsQuantum Research Track Martin Beisel Institute of Architecture of Application Systems (IAAS), University of Stuttgart, Johanna Barzen University of Stuttgart, Frank Leymann University of Stuttgart, Lavinia Stiliadou Institute of Architecture of Application Systems (IAAS), University of Stuttgart, Daniel Vietz University of Stuttgart, Benjamin Weder Institute of Architecture of Application Systems (IAAS), University of Stuttgart | ||
10:30 30mTalk | A Unit Proofing Framework for Code-level Verification: A Research AgendaFormal Methods New Ideas and Emerging Results (NIER) Paschal Amusuo Purdue University, Parth Vinod Patil Purdue University, Owen Cochell Michigan State University, Taylor Le Lievre Purdue University, James C. Davis Purdue University Pre-print | ||
10:30 30mTalk | SolSearch: An LLM-Driven Framework for Efficient SAT-Solving Code GenerationFormal Methods New Ideas and Emerging Results (NIER) Junjie Sheng East China Normal University, Yanqiu Lin East China Normal University, Jiehao Wu East China Normal University, Yanhong Huang East China Normal University, Jianqi Shi East China Normal University, Min Zhang East China Normal University, Xiangfeng Wang East China Normal University | ||
10:30 30mTalk | Listening to the Firehose: Sonifying Z3’s Behavior New Ideas and Emerging Results (NIER) | ||
10:30 30mPoster | HyperCRX 2.0: A Comprehensive and Automated Tool for Empowering GitHub Insights Demonstrations Yantong Wang East China Normal University, Shengyu Zhao Tongji University, will wang , Fenglin Bi East China Normal University | ||
10:30 30mTalk | Using ML filters to help automated vulnerability repairs: when it helps and when it doesn’tSecurity New Ideas and Emerging Results (NIER) Maria Camporese University of Trento, Fabio Massacci University of Trento; Vrije Universiteit Amsterdam Pre-print | ||
10:30 30mTalk | Automated Testing Linguistic Capabilities of NLP Models Journal-first Papers Jaeseong Lee The University of Texas at Dallas, Simin Chen University of Texas at Dallas, Austin Mordahl University of Illinois Chicago, Cong Liu University of California, Riverside, Wei Yang UT Dallas, Shiyi Wei University of Texas at Dallas | ||
10:30 30mPoster | Your Fix Is My Exploit: Enabling Comprehensive DL Library API Fuzzing with Large Language Models Research Track Kunpeng Zhang The Hong Kong University of Science and Technology, Shuai Wang Hong Kong University of Science and Technology, Jitao Han Central University of Finance and Economics, Xiaogang Zhu The University of Adelaide, Xian Li Swinburne University of Technology, Shaohua Wang Central University of Finance and Economics, Sheng Wen Swinburne University of Technology | ||
11:00 - 12:30 | Design for AINew Ideas and Emerging Results (NIER) / SE In Practice (SEIP) / Research Track at 203 Chair(s): Chunyang Chen TU Munich | ||
11:00 15mTalk | A Large-Scale Study of Model Integration in ML-Enabled Software SystemsSE for AI Research Track Yorick Sens Ruhr University Bochum, Henriette Knopp Ruhr University Bochum, Sven Peldszus Ruhr University Bochum, Thorsten Berger Ruhr University Bochum Pre-print | ||
11:15 15mTalk | Are LLMs Correctly Integrated into Software Systems?SE for AI Research Track Yuchen Shao East China Normal University, Yuheng Huang the University of Tokyo, Jiawei Shen East China Normal University, Lei Ma The University of Tokyo & University of Alberta, Ting Su East China Normal University, Chengcheng Wan East China Normal University | ||
11:30 15mTalk | Patch Synthesis for Property Repair of Deep Neural NetworksSE for AI Research Track Zhiming Chi Institute of Software, Chinese Academy of Sciences, Jianan Ma Hangzhou Dianzi University, China; Zhejiang University, Hangzhou, China, Pengfei Yang Institute of Software at Chinese Academy of Sciences, China, Cheng-Chao Huang Nanjing Institute of Software Technology, ISCAS, Renjue Li Institute of Software at Chinese Academy of Sciences, China, Jingyi Wang Zhejiang University, Xiaowei Huang University of Liverpool, Lijun Zhang Institute of Software, Chinese Academy of Sciences | ||
11:45 15mTalk | Optimizing Experiment Configurations for LLM Applications Through Exploratory AnalysisSE for AI New Ideas and Emerging Results (NIER) Nimrod Busany Accenture Labs, Israel, Hananel Hadad Accenture Labs, Israel, Zofia Maszlanka Avanade, Poland, Rohit Shelke University of Ottawa, Canada, Gregory Price University of Ottawa, Canada, Okhaide Akhigbe University of Ottawa, Daniel Amyot University of Ottawa | ||
12:00 15mTalk | AI-Assisted SQL Authoring at Industry ScaleSE for AI SE In Practice (SEIP) Chandra Sekhar Maddila Meta Platforms, Inc., Negar Ghorbani Meta Platforms Inc., Kosay Jabre Meta Platforms, Inc., Vijayaraghavan Murali Meta Platforms Inc., Edwin Kim Meta Platforms, Inc., Parth Thakkar Meta Platforms, Inc., Nikolay Pavlovich Laptev Meta Platforms, Inc., Olivia Harman Meta Platforms, Inc., Diana Hsu Meta Platforms, Inc., Rui Abreu Meta, Peter C Rigby Meta / Concordia University | ||
12:15 15mTalk | Automating ML Model Development at ScaleSE for AI SE In Practice (SEIP) Kaiyuan Wang Google, Yang Li Google Inc, Junyang Shen Google Inc, Kaikai Sheng Google Inc, Yiwei You Google Inc, Jiaqi Zhang Google Inc, Srikar Ayyalasomayajula Google Inc, Julian Grady Google Inc, Martin Wicke Google Inc | ||
11:00 - 12:30 | Analysis 2SE In Practice (SEIP) / Journal-first Papers / Demonstrations at 205 Chair(s): Mahmoud Alfadel University of Calgary | ||
11:00 15mTalk | SIT: An accurate, compliant SBOM generator with incremental construction Demonstrations | ||
11:15 15mTalk | Towards Better Static Analysis Bug Reports in the Clang Static Analyzer SE In Practice (SEIP) Kristóf Umann Eötvös Loránd University, Faculty of Informatics, Dept. of Programming Languages and Compilers, Zoltán Porkoláb Ericsson | ||
11:30 15mTalk | Automatic Identification of Game Stuttering via Gameplay Videos Analysis Journal-first Papers Emanuela Guglielmi University of Molise, Gabriele Bavota Software Institute @ Università della Svizzera Italiana, Rocco Oliveto University of Molise, Simone Scalabrino University of Molise | ||
11:45 15mTalk | LLM Driven Smart Assistant for Data Mapping SE In Practice (SEIP) Arihant Bedagkar Tata Consultancy Services, Sayandeep Mitra Tata Consultancy Services, Raveendra Kumar Medicherla TCS Research, Tata Consultancy Services, Ravindra Naik TCS Research, TRDDC, India, Samiran Pal Tata Consultancy Services | ||
12:00 15mTalk | On the Diagnosis of Flaky Job Failures: Understanding and Prioritizing Failure Categories SE In Practice (SEIP) Henri Aïdasso École de technologie supérieure (ÉTS), Francis Bordeleau École de Technologie Supérieure (ETS), Ali Tizghadam TELUS Pre-print | ||
12:15 7mTalk | AddressWatcher: Sanitizer-Based Localization of Memory Leak Fixes Journal-first Papers Aniruddhan Murali University of Waterloo, Mahmoud Alfadel University of Calgary, Mei Nagappan University of Waterloo, Meng Xu University of Waterloo, Chengnian Sun University of Waterloo | ||
11:00 - 12:30 | Human and Social 2Research Track / Journal-first Papers at 206 plus 208 Chair(s): Alexander Serebrenik Eindhoven University of Technology | ||
11:00 15mTalk | Code Today, Deadline Tomorrow: Procrastination Among Software Developers Research Track Zeinabsadat Saghi University of Southern California, Thomas Zimmermann University of California, Irvine, Souti Chattopadhyay University of Southern California | ||
11:15 15mTalk | "Get Me In The Groove": A Mixed Methods Study on Supporting ADHD Professional Programmers Research Track Kaia Newman Carnegie Mellon University, Sarah Snay University of Michigan, Madeline Endres University of Massachusetts Amherst, Manasvi Parikh University of Michigan, Andrew Begel Carnegie Mellon University Pre-print | ||
11:30 15mTalk | Hints Help Finding and Fixing Bugs Differently in Python and Text-based Program Representations Research Track Ruchit Rawal Max Planck Institute for Software Systems, Victor-Alexandru Padurean Max Planck Institute for Software Systems, Sven Apel Saarland University, Adish Singla Max Planck Institute for Software Systems, Mariya Toneva Max Planck Institute for Software Systems Pre-print | ||
11:45 15mTalk | How Scientists Use Jupyter Notebooks: Goals, Quality Attributes, and Opportunities Research Track Ruanqianqian (Lisa) Huang University of California, San Diego, Savitha Ravi UC San Diego, Michael He UCSD, Boyu Tian University of California, San Diego, Sorin Lerner University of California at San Diego, Michael Coblenz University of California, San Diego Pre-print | ||
12:00 15mTalk | Investigating the Online Recruitment and Selection Journey of Novice Software Engineers: Anti-patterns and Recommendations Journal-first Papers Miguel Setúbal Federal University of Ceará, Tayana Conte Universidade Federal do Amazonas, Marcos Kalinowski Pontifical Catholic University of Rio de Janeiro (PUC-Rio), Allysson Allex Araújo Federal University of Cariri Link to publication Pre-print | ||
12:15 15mTalk | Reputation Gaming in Crowd Technical Knowledge Sharing Journal-first Papers Iren Mazloomzadeh École Polytechnique de Montréal, Gias Uddin York University, Canada, Foutse Khomh Polytechnique Montréal, Ashkan Sami Edinburgh Napier University | ||
11:00 - 12:30 | Security and Analysis 1Research Track / SE In Practice (SEIP) at 210 Chair(s): Akond Rahman Auburn University | ||
11:00 15mTalk | Accounting for Missing Events in Statistical Information Leakage AnalysisSecurity Research Track Seongmin Lee Max Planck Institute for Security and Privacy (MPI-SP), Shreyas Minocha Georgia Tech, Marcel Böhme MPI for Security and Privacy | ||
11:15 15mTalk | AssetHarvester: A Static Analysis Tool for Detecting Secret-Asset Pairs in Software ArtifactsSecurity Research Track Setu Kumar Basak North Carolina State University, K. Virgil English North Carolina State University, Ken Ogura North Carolina State University, Vitesh Kambara North Carolina State University, Bradley Reaves North Carolina State University, Laurie Williams North Carolina State University | ||
11:30 15mTalk | Enhancing The Open Network: Definition and Automated Detection of Smart Contract DefectsBlockchainSecurityAward Winner Research Track Hao Song , Teng Li University of Electronic Science and Technology of China, Jiachi Chen Sun Yat-sen University, Ting Chen University of Electronic Science and Technology of China, Beibei Li Sichuan University, Zhangyan Lin University of Electronic Science and Technology of China, Yi Lu BitsLab, Pan Li MoveBit, Xihan Zhou TonBit | ||
11:45 15mTalk | Detecting Python Malware in the Software Supply Chain with Program Analysis SE In Practice (SEIP) Ridwan Salihin Shariffdeen National University of Singapore, Behnaz Hassanshahi Oracle Labs, Australia, Martin Mirchev National University of Singapore, Ali El Husseini National University of Singapore, Abhik Roychoudhury National University of Singapore | ||
12:00 15mTalk | $ZTD_{JAVA}$: Mitigating Software Supply Chain Vulnerabilities via Zero-Trust DependenciesSecurity Research Track Paschal Amusuo Purdue University, Kyle A. Robinson Purdue University, Tanmay Singla Purdue University, Huiyun Peng Mount Holyoke College, Aravind Machiry Purdue University, Santiago Torres-Arias Purdue University, Laurent Simon Google, James C. Davis Purdue University Pre-print | ||
12:15 15mTalk | FairChecker: Detecting Fund-stealing Bugs in DeFi Protocols via Fairness ValidationBlockchainSecurity Research Track | ||
11:00 - 12:30 | AI for Design and ArchitectureDemonstrations / SE In Practice (SEIP) / Research Track at 211 Chair(s): Sarah Nadi New York University Abu Dhabi | ||
11:00 15mTalk | An LLM-Based Agent-Oriented Approach for Automated Code Design Issue Localization Research Track Fraol Batole Tulane University, David OBrien Iowa State University, Tien N. Nguyen University of Texas at Dallas, Robert Dyer University of Nebraska-Lincoln, Hridesh Rajan Tulane University | ||
11:15 15mTalk | Distilled Lifelong Self-Adaptation for Configurable Systems Research Track Yulong Ye University of Birmingham, Tao Chen University of Birmingham, Miqing Li University of Birmingham Pre-print | ||
11:30 15mTalk | The Software Librarian: Python Package Insights for Copilot Demonstrations Jasmine Latendresse Concordia University, Nawres Day ISSAT Sousse, SayedHassan Khatoonabadi Concordia University, Montreal, Emad Shihab Concordia University, Montreal | ||
11:45 15mTalk | aiXcoder-7B: A Lightweight and Effective Large Language Model for Code Processing SE In Practice (SEIP) Siyuan Jiang , Jia Li Peking University, He Zong aiXcoder, Huanyu Liu Peking University, Hao Zhu Peking University, Shukai Hu aiXcoder, Erlu Li aiXcoder, Jiazheng Ding aiXcoder, Ge Li Peking University Pre-print | ||
12:00 15mTalk | Leveraging MLOps: Developing a Sequential Classification System for RFQ Documents in Electrical Engineering SE In Practice (SEIP) Claudio Martens Fraunhofer Institute for Intelligent Analysis and Information Systems (IAIS), Hammam Abdelwahab Fraunhofer Institute for Intelligent Analysis and Information Systems (IAIS), Katharina Beckh Fraunhofer Institute for Intelligent Analysis and Information Systems (IAIS), Birgit Kirsch Fraunhofer Institute for Intelligent Analysis and Information Systems (IAIS), Vishwani Gupta Fraunhofer Institute for Intelligent Analysis and Information Systems (IAIS), Dennis Wegener Fraunhofer Institute for Intelligent Analysis and Information Systems (IAIS), Steffen Hoh Schneider Electric | ||
12:15 15mTalk | On Mitigating Code LLM Hallucinations with API Documentation SE In Practice (SEIP) Nihal Jain Amazon Web Services, Robert Kwiatkowski , Baishakhi Ray Columbia University, Murali Krishna Ramanathan AWS AI Labs, Varun Kumar AWS AI Labs | ||
11:00 - 12:30 | AI for Analysis 3SE In Practice (SEIP) / Research Track at 212 Chair(s): Gias Uddin York University, Canada | ||
11:00 15mTalk | COCA: Generative Root Cause Analysis for Distributed Systems with Code Knowledge Research Track Yichen LI The Chinese University of Hong Kong, Yulun Wu The Chinese University of Hong Kong, Jinyang Liu Chinese University of Hong Kong, Zhihan Jiang The Chinese University of Hong Kong, Zhuangbin Chen Sun Yat-sen University, Guangba Yu The Chinese University of Hong Kong, Michael Lyu The Chinese University of Hong Kong | ||
11:15 15mTalk | Enhancing Code Generation via Bidirectional Comment-Level Mutual Grounding Research Track | ||
11:30 15mTalk | HumanEvo: An Evolution-aware Benchmark for More Realistic Evaluation of Repository-level Code Generation Research Track Dewu Zheng Sun Yat-sen University, Yanlin Wang Sun Yat-sen University, Ensheng Shi Xi’an Jiaotong University, Ruikai Zhang Huawei Cloud Computing Technologies, Yuchi Ma Huawei Cloud Computing Technologies, Hongyu Zhang Chongqing University, Zibin Zheng Sun Yat-sen University | ||
11:45 15mTalk | SEMANTIC CODE FINDER: An Efficient Semantic Search Framework for Large-Scale Codebases SE In Practice (SEIP) daeha ryu Innovation Center, Samsung Electronics, Seokjun Ko Samsung Electronics Co., Eunbi Jang Innovation Center, Samsung Electronics, jinyoung park Innovation Center, Samsung Electronics, myunggwan kim Innovation Center, Samsung Electronics, changseo park Innovation Center, Samsung Electronics | ||
12:00 15mTalk | Time to Retrain? Detecting Concept Drifts in Machine Learning Systems SE In Practice (SEIP) Tri Minh-Triet Pham Concordia University, Karthikeyan Premkumar Ericsson, Mohamed Naili Ericsson, Jinqiu Yang Concordia University | ||
12:15 15mTalk | UML Sequence Diagram Generation: A Multi-Model, Multi-Domain Evaluation SE In Practice (SEIP) | ||
11:00 - 12:30 | AI for RequirementsResearch Track / SE In Practice (SEIP) / Journal-first Papers / New Ideas and Emerging Results (NIER) at 213 Chair(s): Jennifer Horkoff Chalmers and the University of Gothenburg | ||
11:00 15mTalk | From Bugs to Benefits: Improving User Stories by Leveraging Crowd Knowledge with CrUISE-AC Research Track | ||
11:15 15mTalk | LiSSA: Toward Generic Traceability Link Recovery through Retrieval-Augmented Generation Research Track Dominik Fuchß Karlsruhe Institute of Technology (KIT), Tobias Hey Karlsruhe Institute of Technology (KIT), Jan Keim Karlsruhe Institute of Technology (KIT), Haoyu Liu Karlsruhe Institute of Technology (KIT), Niklas Ewald Karlsruhe Institute of Technology (KIT), Tobias Thirolf Karlsruhe Institute of Technology (KIT), Anne Koziolek Karlsruhe Institute of Technology Pre-print Media Attached | ||
11:30 15mTalk | Replication in Requirements Engineering: the NLP for RE Case Journal-first Papers Sallam Abualhaija University of Luxembourg, Fatma Başak Aydemir Utrecht University, Fabiano Dalpiaz Utrecht University, Davide Dell'Anna Utrecht University, Alessio Ferrari CNR-ISTI, Xavier Franch Universitat Politècnica de Catalunya, Davide Fucci Blekinge Institute of Technology | ||
11:45 15mTalk | On the Impact of Requirements Smells in Prompts: The Case of Automated Traceability New Ideas and Emerging Results (NIER) Andreas Vogelsang paluno, University of Duisburg-Essen, Alexander Korn University of Duisburg-Essen, Giovanna Broccia ISTI-CNR, FMT Lab, Alessio Ferrari Consiglio Nazionale delle Ricerche (CNR) and University College Dublin (UCD), Jannik Fischbach Netlight Consulting GmbH and fortiss GmbH, Chetan Arora Monash University | ||
12:00 15mTalk | NICE: Non-Functional Requirements Identification, Classification, and Explanation Using Small Language Models SE In Practice (SEIP) Pre-print | ||
11:00 - 12:30 | |||
11:00 15mTalk | A Multi-Agent Approach for REST API Testing with Semantic Graphs and LLM-Driven Inputs Research Track Myeongsoo Kim Georgia Institute of Technology, Tyler Stennett Georgia Institute of Technology, Saurabh Sinha IBM Research, Alessandro Orso Georgia Institute of Technology | ||
11:15 15mTalk | ClozeMaster: Fuzzing Rust Compiler by Harnessing LLMs for Infilling Masked Real Programs Research Track Hongyan Gao State Key Laboratory for Novel Software Technology, Nanjing University, Yibiao Yang Nanjing University, Maolin Sun Nanjing University, Jiangchang Wu State Key Laboratory for Novel Software Technology, Nanjing University, Yuming Zhou Nanjing University, Baowen Xu State Key Laboratory for Novel Software Technology, Nanjing University | ||
11:30 15mTalk | LLM Based Input Space Partitioning Testing for Library APIs Research Track Jiageng Li Fudan University, Zhen Dong Fudan University, Chong Wang Nanyang Technological University, Haozhen You Fudan University, Cen Zhang Georgia Institute of Technology, Yang Liu Nanyang Technological University, Xin Peng Fudan University | ||
11:45 15mTalk | Leveraging Large Language Models for Enhancing the Understandability of Generated Unit Tests Research Track Amirhossein Deljouyi Delft University of Technology, Roham Koohestani Delft University of Technology, Maliheh Izadi Delft University of Technology, Andy Zaidman TU Delft DOI Pre-print | ||
12:00 15mTalk | exLong: Generating Exceptional Behavior Tests with Large Language Models Research Track Jiyang Zhang University of Texas at Austin, Yu Liu Meta, Pengyu Nie University of Waterloo, Junyi Jessy Li University of Texas at Austin, USA, Milos Gligoric The University of Texas at Austin | ||
12:15 15mTalk | TOGLL: Correct and Strong Test Oracle Generation with LLMs Research Track | ||
13:00 - 13:30 | Thu Lunch Posters 13:00-13:30Research Track / SE in Society (SEIS) / Journal-first Papers / SE In Practice (SEIP) at Canada Hall 3 Poster Area | ||
13:00 30mTalk | BDefects4NN: A Backdoor Defect Database for Controlled Localization Studies in Neural Networks Research Track Yisong Xiao Beihang University, Aishan Liu Beihang University; Institute of Dataspace, Xinwei Zhang Beihang University, Tianyuan Zhang Beihang University, Li Tianlin NTU, Siyuan Liang National University of Singapore, Xianglong Liu Beihang University; Institute of Dataspace; Zhongguancun Laboratory, Yang Liu Nanyang Technological University, Dacheng Tao Nanyang Technological University | ||
13:00 30mTalk | Ethical Issues in Video Games: Insights from Reddit Discussions SE in Society (SEIS) | ||
13:00 30mTalk | An Empirical Study on Developers' Shared Conversations with ChatGPT in GitHub Pull Requests and Issues Journal-first Papers Huizi Hao Queen's University, Canada, Kazi Amit Hasan Queen's University, Canada, Hong Qin Queen's University, Marcos Macedo Queen's University, Yuan Tian Queen's University, Kingston, Ontario, Ding Steven, H., H. Queen’s University at Kingston, Ahmed E. Hassan Queen’s University | ||
13:00 30mTalk | QuanTest: Entanglement-Guided Testing of Quantum Neural Network SystemsQuantum Journal-first Papers Jinjing Shi Central South University, Zimeng Xiao Central South University, Heyuan Shi Central South University, Yu Jiang Tsinghua University, Xuelong LI China Telecom Link to publication | ||
13:00 30mPoster | FlatD: Protecting Deep Neural Network Program from Reversing Attacks SE In Practice (SEIP) Jinquan Zhang The Pennsylvania State University, Zihao Wang Penn State University, Pei Wang Independent Researcher, Rui Zhong Palo Alto Networks, Dinghao Wu Pennsylvania State University | ||
13:00 30mTalk | Building Domain-Specific Machine Learning Workflows: A Conceptual Framework for the State-of-the-PracticeSE for AI Journal-first Papers Bentley Oakes Polytechnique Montréal, Michalis Famelis Université de Montréal, Houari Sahraoui DIRO, Université de Montréal DOI Pre-print File Attached | ||
13:00 30mTalk | On the acceptance by code reviewers of candidate security patches suggested by Automated Program Repair tools.Security Journal-first Papers Aurora Papotti Vrije Universiteit Amsterdam, Ranindya Paramitha University of Trento, Fabio Massacci University of Trento; Vrije Universiteit Amsterdam | ||
13:00 30mTalk | Automating Explanation Need Management in App Reviews: A Case Study from the Navigation App Industry SE In Practice (SEIP) Martin Obaidi Leibniz Universität Hannover, Nicolas Voß Graphmasters GmbH, Hannah Deters Leibniz University Hannover, Jakob Droste Leibniz Universität Hannover, Marc Herrmann Leibniz University Hannover, Jannik Fischbach Netlight Consulting GmbH and fortiss GmbH, Kurt Schneider Leibniz Universität Hannover, Software Engineering Group | ||
13:30 - 14:00 | Thu Lunch Posters 13:30-14:00Journal-first Papers / New Ideas and Emerging Results (NIER) / Research Track at Canada Hall 3 Poster Area | ||
13:30 30mPoster | Non-Autoregressive Line-Level Code Completion Journal-first Papers | ||
13:30 30mTalk | LLM-Based Test-Driven Interactive Code Generation: User Study and Empirical Evaluation Journal-first Papers Sarah Fakhoury Microsoft Research, Aaditya Naik University of Pennsylvania, Georgios Sakkas University of California at San Diego, Saikat Chakraborty Microsoft Research, Shuvendu K. Lahiri Microsoft Research Link to publication | ||
13:30 30mTalk | SusDevOps: Promoting Sustainability to a First Principle in Software Delivery New Ideas and Emerging Results (NIER) Istvan David McMaster University / McMaster Centre for Software Certification (McSCert) | ||
13:30 30mPoster | Predicting the First Response Latency of Maintainers and Contributors in Pull Requests Journal-first Papers SayedHassan Khatoonabadi Concordia University, Montreal, Ahmad Abdellatif University of Calgary, Diego Elias Costa Concordia University, Canada, Emad Shihab Concordia University, Montreal | ||
13:30 30mPoster | RustAssistant: Using LLMs to Fix Compilation Errors in Rust Code Research Track Pantazis Deligiannis Microsoft Research, Akash Lal Microsoft Research, Nikita Mehrotra Microsoft Research, Rishi Poddar Microsoft Research, Aseem Rastogi Microsoft Research | ||
13:30 30mTalk | Relevant information in TDD experiment reporting Journal-first Papers Fernando Uyaguari Instituto Superior Tecnológico Wissen, Silvia Teresita Acuña Castillo Universidad Autónoma de Madrid, John W. Castro Universidad de Atacama, Davide Fucci Blekinge Institute of Technology, Oscar Dieste Universidad Politécnica de Madrid, Sira Vegas Universidad Politecnica de Madrid | ||
14:00 - 15:30 | Testing and QA 3Research Track / Journal-first Papers at 205 Chair(s): Michael Pradel University of Stuttgart | ||
14:00 15mTalk | Increasing the Effectiveness of Automatically Generated Tests by Improving Class ObservabilityAward Winner Research Track Geraldine Galindo-Gutierrez Centro de Investigación en Ciencias Exactas e Ingenierías, Universidad Católica Boliviana, Juan Pablo Sandoval Alcocer Pontificia Universidad Católica de Chile, Nicolas Jimenez-Fuentes Pontificia Universidad Católica de Chile, Alexandre Bergel University of Chile, Gordon Fraser University of Passau | ||
14:15 15mTalk | Invivo Fuzzing by Amplifying Actual Executions Research Track | ||
14:30 15mTalk | Towards High-strength Combinatorial Interaction Testing for Highly Configurable Software Systems Research Track Chuan Luo Beihang University, Shuangyu Lyu Beihang University, Wei Wu Central South University; Xiangjiang Laboratory, Hongyu Zhang Chongqing University, Dianhui Chu Harbin Institute of Technology, Chunming Hu Beihang University | ||
14:45 15mTalk | WDD: Weighted Delta Debugging Research Track Xintong Zhou University of Waterloo, Zhenyang Xu University of Waterloo, Mengxiao Zhang University of Waterloo, Yongqiang Tian , Chengnian Sun University of Waterloo | ||
15:00 15mTalk | TopSeed: Learning Seed Selection Strategies for Symbolic Execution from Scratch Research Track | ||
15:15 15mTalk | Hunting bugs: Towards an automated approach to identifying which change caused a bug through regression testing Journal-first Papers Michel Maes Bermejo Universidad Rey Juan Carlos, Alexander Serebrenik Eindhoven University of Technology, Micael Gallego Universidad Rey Juan Carlos, Francisco Gortázar Universidad Rey Juan Carlos, Gregorio Robles Universidad Rey Juan Carlos, Jesus M. Gonzalez-Barahona Universidad Rey Juan Carlos | ||
14:00 - 15:30 | AI for Testing and QA 4Journal-first Papers / Demonstrations / Research Track at 206 plus 208 Chair(s): Andreas Jedlitschka Fraunhofer IESE | ||
14:00 15mTalk | The Seeds of the FUTURE Sprout from History: Fuzzing for Unveiling Vulnerabilities in Prospective Deep-Learning LibrariesSecurityAward Winner Research Track Zhiyuan Li , Jingzheng Wu Institute of Software, The Chinese Academy of Sciences, Xiang Ling Institute of Software, Chinese Academy of Sciences, Tianyue Luo Institute of Software, Chinese Academy of Sciences, ZHIQING RUI Institute of Software, Chinese Academy of Sciences; University of Chinese Academy of Sciences, Yanjun Wu Institute of Software, Chinese Academy of Sciences | ||
14:15 15mTalk | AutoRestTest: A Tool for Automated REST API Testing Using LLMs and MARL Demonstrations Tyler Stennett Georgia Institute of Technology, Myeongsoo Kim Georgia Institute of Technology, Saurabh Sinha IBM Research, Alessandro Orso Georgia Institute of Technology | ||
14:30 15mTalk | FairBalance: How to Achieve Equalized Odds With Data Pre-processing Journal-first Papers Zhe Yu Rochester Institute of Technology, Joymallya Chakraborty Amazon.com, Tim Menzies North Carolina State University | ||
14:45 15mTalk | RLocator: Reinforcement Learning for Bug Localization Journal-first Papers Partha Chakraborty University of Waterloo, Mahmoud Alfadel University of Calgary, Mei Nagappan University of Waterloo | ||
15:00 15mTalk | Studying the explanations for the automated prediction of bug and non-bug issues using LIME and SHAP Journal-first Papers Lukas Schulte University of Passau, Benjamin Ledel Digital Learning GmbH, Steffen Herbold University of Passau | ||
15:15 15mTalk | Test Generation Strategies for Building Failure Models and Explaining Spurious Failures Journal-first Papers Baharin Aliashrafi Jodat University of Ottawa, Abhishek Chandar University of Ottawa, Shiva Nejati University of Ottawa, Mehrdad Sabetzadeh University of Ottawa Pre-print | ||
14:00 - 15:30 | Human and Social using AI 1Research Track at 207 Chair(s): Romain Robbes CNRS, LaBRI, University of Bordeaux | ||
14:00 15mTalk | Between Lines of Code: Unraveling the Distinct Patterns of Machine and Human Programmers Research Track Yuling Shi Shanghai Jiao Tong University, Hongyu Zhang Chongqing University, Chengcheng Wan East China Normal University, Xiaodong Gu Shanghai Jiao Tong University | ||
14:15 15mTalk | Deep Learning-based Code Reviews: A Paradigm Shift or a Double-Edged Sword? Research Track Rosalia Tufano Università della Svizzera Italiana, Alberto Martin-Lopez Software Institute - USI, Lugano, Ahmad Tayeb , Ozren Dabic Software Institute, Università della Svizzera italiana (USI), Switzerland, Sonia Haiduc , Gabriele Bavota Software Institute @ Università della Svizzera Italiana | ||
14:30 15mTalk | An Exploratory Study of ML Sketches and Visual Code Assistants Research Track Luis F. Gomes Carnegie Mellon University, Vincent J. Hellendoorn Carnegie Mellon University, Jonathan Aldrich Carnegie Mellon University, Rui Abreu Faculty of Engineering of the University of Porto, Portugal | ||
14:45 15mTalk | LiCoEval: Evaluating LLMs on License Compliance in Code Generation Research Track Weiwei Xu Peking University, Kai Gao Peking University, Hao He Carnegie Mellon University, Minghui Zhou Peking University Pre-print | ||
15:00 15mTalk | Trust Dynamics in AI-Assisted Development: Definitions, Factors, and Implications Research Track Sadra Sabouri University of Southern California, Philipp Eibl University of Southern California, Xinyi Zhou University of Southern California, Morteza Ziyadi Amazon AGI, Nenad Medvidović University of Southern California, Lars Lindemann University of Southern California, Souti Chattopadhyay University of Southern California Pre-print | ||
15:15 15mTalk | What Guides Our Choices? Modeling Developers' Trust and Behavioral Intentions Towards GenAI Research Track Rudrajit Choudhuri Oregon State University, Bianca Trinkenreich Colorado State University, Rahul Pandita GitHub, Inc., Eirini Kalliamvakou GitHub, Igor Steinmacher NAU RESHAPE LAB, Marco Gerosa Northern Arizona University, Christopher Sanchez Oregon State University, Anita Sarma Oregon State University Pre-print | ||
14:00 - 15:30 | |||
14:00 15mTalk | Large Language Models as Configuration ValidatorsSecurity Research Track Xinyu Lian University of Illinois at Urbana-Champaign, Yinfang Chen University of Illinois at Urbana-Champaign, Runxiang Cheng University of Illinois at Urbana-Champaign, Jie Huang University of Illinois at Urbana-Champaign, Parth Thakkar Meta Platforms, Inc., Minjia Zhang UIUC, Tianyin Xu University of Illinois at Urbana-Champaign | ||
14:15 15mTalk | LLM Assistance for Memory SafetySecurity Research Track Nausheen Mohammed Microsoft Research, Akash Lal Microsoft Research, Aseem Rastogi Microsoft Research, Subhajit Roy IIT Kanpur, Rahul Sharma Microsoft Research | ||
14:30 15mTalk | Vulnerability Detection with Code Language Models: How Far Are We?Security Research Track Yangruibo Ding Columbia University, Yanjun Fu University of Maryland, Omniyyah Ibrahim King Abdulaziz City for Science and Technology, Chawin Sitawarin University of California, Berkeley, Xinyun Chen , Basel Alomair King Abdulaziz City for Science and Technology, David Wagner UC Berkeley, Baishakhi Ray Columbia University, Yizheng Chen University of Maryland | ||
14:45 15mTalk | Combining Fine-Tuning and LLM-based Agents for Intuitive Smart Contract Auditing with JustificationsBlockchainSecurity Research Track Wei Ma , Daoyuan Wu Hong Kong University of Science and Technology, Yuqiang Sun Nanyang Technological University, Tianwen Wang National University of Singapore, Shangqing Liu Nanyang Technological University, Jian Zhang Nanyang Technological University, Yue Xue , Yang Liu Nanyang Technological University | ||
15:00 15mTalk | Towards Neural Synthesis for SMT-assisted Proof-Oriented ProgrammingSecurityFormal MethodsAward Winner Research Track Saikat Chakraborty Microsoft Research, Gabriel Ebner Microsoft Research, Siddharth Bhat University of Cambridge, Sarah Fakhoury Microsoft Research, Sakina Fatima University of Ottawa, Shuvendu K. Lahiri Microsoft Research, Nikhil Swamy Microsoft Research | ||
15:15 15mTalk | Prompt-to-SQL Injections in LLM-Integrated Web Applications: Risks and DefensesSecuritySE for AI Research Track Rodrigo Resendes Pedro INESC-ID / IST, Universidade de Lisboa, Miguel E. Coimbra INESC-ID; Instituto Superior Técnico - University of Lisbon, Daniel Castro INESC-ID / IST, Universidade de Lisboa, Paulo Carreira INESC-ID / IST, Universidade de Lisboa, Nuno Santos INESC-ID; Instituto Superior Técnico - University of Lisbon | ||
14:00 - 15:30 | Analysis 3Research Track / Journal-first Papers at 212 Chair(s): Shaowei Wang University of Manitoba | ||
14:00 15mTalk | Boosting Path-Sensitive Value Flow Analysis via Removal of Redundant Summaries Research Track Yongchao WANG Hong Kong University of Science and Technology, Yuandao Cai Hong Kong University of Science and Technology, Charles Zhang Hong Kong University of Science and Technology Pre-print | ||
14:15 15mTalk | Dockerfile Flakiness: Characterization and Repair Research Track Taha Shabani University of British Columbia, Noor Nashid University of British Columbia, Parsa Alian University of British Columbia, Ali Mesbah University of British Columbia Pre-print | ||
14:30 15mTalk | Evaluating Garbage Collection Performance Across Managed Language Runtimes Research Track Yicheng Wang Institute of Software Chinese Academy of Sciences, Wensheng Dou Institute of Software Chinese Academy of Sciences, Yu Liang Institute of Software Chinese Academy of Sciences, Yi Wang Institute of Software Chinese Academy of Sciences, Wei Wang Institute of Software at Chinese Academy of Sciences, Jun Wei Institute of Software at Chinese Academy of Sciences; University of Chinese Academy of Sciences, Tao Huang Institute of Software Chinese Academy of Sciences | ||
14:45 15mTalk | Module-Aware Context Sensitive Pointer Analysis Research Track Haofeng Li SKLP, Institute of Computing Technology, CAS, Chenghang Shi SKLP, Institute of Computing Technology, CAS, Jie Lu SKLP, Institute of Computing Technology, CAS, Lian Li Institute of Computing Technology at Chinese Academy of Sciences; University of Chinese Academy of Sciences, Zixuan Zhao Huawei Technologies Co. Ltd File Attached | ||
15:00 15mTalk | An Empirical Study on Reproducible Packaging in Open-Source Ecosystems Research Track Giacomo Benedetti University of Genoa, Oreofe Solarin Case Western Reserve University, Courtney Miller Carnegie Mellon University, Greg Tystahl NCSU, William Enck North Carolina State University, Christian Kästner Carnegie Mellon University, Alexandros Kapravelos NCSU, Alessio Merlo CASD - School of Advanced Defense Studies, Luca Verderame University of Genoa | ||
15:15 15mTalk | T-Rec: Fine-Grained Language-Agnostic Program Reduction Guided by Lexical Syntax Journal-first Papers Zhenyang Xu University of Waterloo, Yongqiang Tian , Mengxiao Zhang , Jiarui Zhang University of Waterloo, Puzhuo Liu Ant Group & Tsinghua University, Yu Jiang Tsinghua University, Chengnian Sun University of Waterloo | ||
14:00 - 15:30 | |||
14:00 15mTalk | Code Comment Inconsistency Detection and Rectification Using a Large Language Model Research Track Guoping Rong Nanjing University, YongdaYu Nanjing University, Song Liu Nanjing University, Xin Tan Nanjing University, Tianyi Zhang Nanjing University, Haifeng Shen Southern Cross University, Jidong Hu Zhongxing Telecom Equipment | ||
14:15 15mTalk | Context Conquers Parameters: Outperforming Proprietary LLM in Commit Message Generation Research Track Aaron Imani University of California, Irvine, Iftekhar Ahmed University of California at Irvine, Mohammad Moshirpour University of California, Irvine | ||
14:30 15mTalk | HedgeCode: A Multi-Task Hedging Contrastive Learning Framework for Code Search Research Track Gong Chen Wuhan University, Xiaoyuan Xie Wuhan University, Xunzhu Tang University of Luxembourg, Qi Xin Wuhan University, Wenjie Liu Wuhan University | ||
14:45 15mTalk | Reasoning Runtime Behavior of a Program with LLM: How Far Are We? Research Track Junkai Chen Zhejiang University, Zhiyuan Pan Zhejiang University, Xing Hu Zhejiang University, Zhenhao Li York University, Ge Li Peking University, Xin Xia Huawei | ||
15:00 15mTalk | Source Code Summarization in the Era of Large Language Models Research Track Weisong Sun Nanjing University, Yun Miao Nanjing University, Yuekang Li UNSW, Hongyu Zhang Chongqing University, Chunrong Fang Nanjing University, Yi Liu Nanyang Technological University, Gelei Deng Nanyang Technological University, Yang Liu Nanyang Technological University, Zhenyu Chen Nanjing University Media Attached | ||
15:15 15mTalk | Template-Guided Program Repair in the Era of Large Language Models Research Track Kai Huang , Jian Zhang Nanyang Technological University, Xiangxin Meng Beihang University, Beijing, China, Yang Liu Nanyang Technological University File Attached | ||
14:00 - 15:30 | SE for AI 3Research Track / SE in Society (SEIS) / Journal-first Papers at 215 Chair(s): Lina Marsso École Polytechnique de Montréal | ||
14:00 15mTalk | Dissecting Global Search: A Simple yet Effective Method to Boost Individual Discrimination Testing and RepairSE for AI Research Track Lili Quan Tianjin University, Li Tianlin NTU, Xiaofei Xie Singapore Management University, Zhenpeng Chen Nanyang Technological University, Sen Chen Nankai University, Lingxiao Jiang Singapore Management University, Xiaohong Li Tianjin University Pre-print | ||
14:15 15mTalk | FixDrive: Automatically Repairing Autonomous Vehicle Driving Behaviour for $0.08 per ViolationSE for AI Research Track Yang Sun Singapore Management University, Chris Poskitt Singapore Management University, Kun Wang Zhejiang University, Jun Sun Singapore Management University Pre-print File Attached | ||
14:30 15mTalk | MARQ: Engineering Mission-Critical AI-based Software with Automated Result Quality AdaptationSE for AI Research Track Uwe Gropengießer Technical University of Darmstadt, Elias Dietz Technical University of Darmstadt, Florian Brandherm Technical University of Darmstadt, Achref Doula Technical University of Darmstadt, Osama Abboud Munich Research Center, Huawei, Xun Xiao Munich Research Center, Huawei, Max Mühlhäuser Technical University of Darmstadt | ||
14:45 15mTalk | An Empirical Study of Challenges in Machine Learning Asset ManagementSE for AI Journal-first Papers Zhimin Zhao Queen's University, Yihao Chen Queen's University, Abdul Ali Bangash Software Analysis and Intelligence Lab (SAIL), Queen's University, Canada, Bram Adams Queen's University, Ahmed E. Hassan Queen’s University | ||
15:00 15mTalk | A Reference Model for Empirically Comparing LLMs with HumansSE for AI SE in Society (SEIS) Kurt Schneider Leibniz Universität Hannover, Software Engineering Group, Farnaz Fotrousi Chalmers University of Technology and University of Gothenburg, Rebekka Wohlrab Chalmers University of Technology | ||
15:15 7mTalk | Building Domain-Specific Machine Learning Workflows: A Conceptual Framework for the State-of-the-PracticeSE for AI Journal-first Papers Bentley Oakes Polytechnique Montréal, Michalis Famelis Université de Montréal, Houari Sahraoui DIRO, Université de Montréal DOI Pre-print File Attached | ||
15:30 - 16:00 | Thu Afternoon Break Posters 15:30-16:00Journal-first Papers / Research Track / New Ideas and Emerging Results (NIER) / SE in Society (SEIS) at Canada Hall 3 Poster Area | ||
15:30 30mTalk | Mole: Efficient Crash Reproduction in Android Applications With Enforcing Necessary UI Events Journal-first Papers Maryam Masoudian Sharif University of Technology, Hong Kong University of Science and Technology (HKUST), Heqing Huang City University of Hong Kong, Morteza Amini Sharif University of Technology, Charles Zhang Hong Kong University of Science and Technology | ||
15:30 30mTalk | Best ends by the best means: ethical concerns in app reviews Journal-first Papers Neelam Tjikhoeri Vrije Universiteit Amsterdam, Lauren Olson Vrije Universiteit Amsterdam, Emitzá Guzmán Vrije Universiteit Amsterdam | ||
15:30 30mTalk | Shaken, Not Stirred. How Developers Like Their Amplified Tests Journal-first Papers Carolin Brandt TU Delft, Ali Khatami Delft University of Technology, Mairieli Wessel Radboud University, Andy Zaidman TU Delft Pre-print | ||
15:30 30mPoster | BSan: A Powerful Identifier-Based Hardware-Independent Memory Error Detector for COTS Binaries Research Track Wen Zhang University of Georgia, Botang Xiao University of Georgia, Qingchen Kong University of Georgia, Le Guan University of Georgia, Wenwen Wang University of Georgia | ||
15:30 30mTalk | Towards Early Warning and Migration of High-Risk Dormant Open-Source Software DependenciesSecurity New Ideas and Emerging Results (NIER) Zijie Huang Shanghai Key Laboratory of Computer Software Testing and Evaluation, Lizhi Cai Shanghai Key Laboratory of Computer Software Testing & Evaluating, Shanghai Software Center, Xuan Mao Department of Computer Science and Engineering, East China University of Science and Technology, Shanghai, China, Kang Yang Shanghai Key Laboratory of Computer Software Testing and Evaluating, Shanghai Development Center of Computer Software Technology | ||
15:30 30mTalk | Exploring User Privacy Awareness on GitHub: An Empirical Study Journal-first Papers Costanza Alfieri Università degli Studi dell'Aquila, Juri Di Rocco University of L'Aquila, Paola Inverardi Gran Sasso Science Institute, Phuong T. Nguyen University of L’Aquila | ||
15:30 30mPoster | SimClone: Detecting Tabular Data Clones using Value Similarity Journal-first Papers Xu Yang University of Manitoba, Gopi Krishnan Rajbahadur Centre for Software Excellence, Huawei, Canada, Dayi Lin Centre for Software Excellence, Huawei Canada, Shaowei Wang University of Manitoba, Zhen Ming (Jack) Jiang York University | ||
15:30 30mTalk | Strategies to Embed Human Values in Mobile Apps: What do End-Users and Practitioners Think? SE in Society (SEIS) Rifat Ara Shams CSIRO's Data61, Mojtaba Shahin RMIT University, Gillian Oliver Monash University, Jon Whittle CSIRO's Data61 and Monash University, Waqar Hussain Data61, CSIRO, Harsha Perera CSIRO's Data61, Arif Nurwidyantoro Universitas Gadjah Mada | ||
Fri 2 MayDisplayed time zone: Eastern Time (US & Canada) change
Fri 2 May
Displayed time zone: Eastern Time (US & Canada) change
10:30 - 11:00 | Fri Morning Break Posters 10:30-11Journal-first Papers / SE In Practice (SEIP) / Research Track / SE in Society (SEIS) / New Ideas and Emerging Results (NIER) at Canada Hall 3 Poster Area | ||
10:30 30mTalk | An Empirical Study on Developers' Shared Conversations with ChatGPT in GitHub Pull Requests and Issues Journal-first Papers Huizi Hao Queen's University, Canada, Kazi Amit Hasan Queen's University, Canada, Hong Qin Queen's University, Marcos Macedo Queen's University, Yuan Tian Queen's University, Kingston, Ontario, Ding Steven, H., H. Queen’s University at Kingston, Ahmed E. Hassan Queen’s University | ||
10:30 30mTalk | Automating Explanation Need Management in App Reviews: A Case Study from the Navigation App Industry SE In Practice (SEIP) Martin Obaidi Leibniz Universität Hannover, Nicolas Voß Graphmasters GmbH, Hannah Deters Leibniz University Hannover, Jakob Droste Leibniz Universität Hannover, Marc Herrmann Leibniz University Hannover, Jannik Fischbach Netlight Consulting GmbH and fortiss GmbH, Kurt Schneider Leibniz Universität Hannover, Software Engineering Group | ||
10:30 30mTalk | On the acceptance by code reviewers of candidate security patches suggested by Automated Program Repair tools.Security Journal-first Papers Aurora Papotti Vrije Universiteit Amsterdam, Ranindya Paramitha University of Trento, Fabio Massacci University of Trento; Vrije Universiteit Amsterdam | ||
10:30 30mTalk | Relevant information in TDD experiment reporting Journal-first Papers Fernando Uyaguari Instituto Superior Tecnológico Wissen, Silvia Teresita Acuña Castillo Universidad Autónoma de Madrid, John W. Castro Universidad de Atacama, Davide Fucci Blekinge Institute of Technology, Oscar Dieste Universidad Politécnica de Madrid, Sira Vegas Universidad Politecnica de Madrid | ||
10:30 30mTalk | BDefects4NN: A Backdoor Defect Database for Controlled Localization Studies in Neural Networks Research Track Yisong Xiao Beihang University, Aishan Liu Beihang University; Institute of Dataspace, Xinwei Zhang Beihang University, Tianyuan Zhang Beihang University, Li Tianlin NTU, Siyuan Liang National University of Singapore, Xianglong Liu Beihang University; Institute of Dataspace; Zhongguancun Laboratory, Yang Liu Nanyang Technological University, Dacheng Tao Nanyang Technological University | ||
10:30 30mTalk | Ethical Issues in Video Games: Insights from Reddit Discussions SE in Society (SEIS) | ||
10:30 30mTalk | SusDevOps: Promoting Sustainability to a First Principle in Software Delivery New Ideas and Emerging Results (NIER) Istvan David McMaster University / McMaster Centre for Software Certification (McSCert) | ||
11:00 - 12:30 | Program Comprehension 3Research Track / Journal-first Papers at 204 Chair(s): Arie van Deursen TU Delft | ||
11:00 15mTalk | Automated Test Generation For Smart Contracts via On-Chain Test Case Augmentation and MigrationBlockchain Research Track Jiashuo Zhang Peking University, China, Jiachi Chen Sun Yat-sen University, John Grundy Monash University, Jianbo Gao Peking University, Yanlin Wang Sun Yat-sen University, Ting Chen University of Electronic Science and Technology of China, Zhi Guan Peking University, Zhong Chen Pre-print | ||
11:15 15mTalk | Boosting Code-line-level Defect Prediction with Spectrum Information and Causality Analysis Research Track Shiyu Sun , Yanhui Li Nanjing University, Lin Chen Nanjing University, Yuming Zhou Nanjing University, Jianhua Zhao Nanjing University, China | ||
11:30 15mTalk | BatFix: Repairing language model-based transpilation Journal-first Papers Daniel Ramos Carnegie Mellon University, Ines Lynce INESC-ID/IST, Universidade de Lisboa, Vasco Manquinho INESC-ID; Universidade de Lisboa, Ruben Martins Carnegie Mellon University, Claire Le Goues Carnegie Mellon University | ||
11:45 15mTalk | Tracking the Evolution of Static Code Warnings: The State-of-the-Art and a Better Approach Journal-first Papers | ||
12:00 15mTalk | PACE: A Program Analysis Framework for Continuous Performance Prediction Journal-first Papers | ||
12:15 15mTalk | Mimicking Production Behavior With Generated Mocks Journal-first Papers Deepika Tiwari KTH Royal Institute of Technology, Martin Monperrus KTH Royal Institute of Technology, Benoit Baudry Université de Montréal | ||
11:00 - 12:30 | |||
11:00 15mTalk | DPFuzzer: Discovering Safety Critical Vulnerabilities for Drone Path PlannersSecurity Research Track Yue Wang , Chao Yang Xidian University, Xiaodong Zhang , Yuwanqi Deng Xidian University, Jianfeng Ma Xidian University | ||
11:15 15mTalk | IRFuzzer: Specialized Fuzzing for LLVM Backend Code Generation Research Track Yuyang Rong University of California, Davis, Zhanghan Yu University of California, Davis, Zhenkai Weng University of California, Davis, Stephen Neuendorffer Advanced Micro Devices, Inc., Hao Chen University of California at Davis | ||
11:30 15mTalk | Ranking Relevant Tests for Order-Dependent Flaky Tests Research Track Shanto Rahman The University of Texas at Austin, Bala Naren Chanumolu George Mason University, Suzzana Rafi George Mason University, August Shi The University of Texas at Austin, Wing Lam George Mason University | ||
11:45 15mTalk | Selecting Initial Seeds for Better JVM Fuzzing Research Track Tianchang Gao Tianjin University, Junjie Chen Tianjin University, Dong Wang Tianjin University, Yile Guo College of Intelligence and Computing, Tianjin University, Yingquan Zhao Tianjin University, Zan Wang Tianjin University | ||
12:00 15mTalk | Toward a Better Understanding of Probabilistic Delta Debugging Research Track Mengxiao Zhang , Zhenyang Xu University of Waterloo, Yongqiang Tian , Xinru Cheng University of Waterloo, Chengnian Sun University of Waterloo | ||
12:15 15mTalk | Tumbling Down the Rabbit Hole: How do Assisting Exploration Strategies Facilitate Grey-box Fuzzing?Award Winner Research Track Mingyuan Wu Southern University of Science and Technology, Jiahong Xiang Southern University of Science and Technology, Kunqiu Chen Southern University of Science and Technology, Peng Di Ant Group & UNSW Sydney, Shin Hwei Tan Concordia University, Heming Cui University of Hong Kong, Yuqun Zhang Southern University of Science and Technology | ||
11:00 - 12:30 | Human and Social 3SE In Practice (SEIP) / Journal-first Papers / Research Track / New Ideas and Emerging Results (NIER) at 206 plus 208 Chair(s): Yuan Tian Queen's University, Kingston, Ontario | ||
11:00 15mTalk | Relationship Status: “It’s complicated” Developer-Security Expert Dynamics in ScrumSecurity Research Track Houda Naji Ruhr University Bochum, Marco Gutfleisch Ruhr University Bochum, Alena Naiakshina Ruhr University Bochum | ||
11:15 15mTalk | Soft Skills in Software Engineering: Insights from the Trenches SE In Practice (SEIP) Sanna Malinen University of Canterbury, Matthias Galster University of Canterbury, Antonija Mitrovic University of Canterbury, New Zealand, Sreedevi Sankara Iyer University of Canterbury, Pasan Peiris University of Canterbury, New Zealand, April Clarke University of Canterbury | ||
11:30 15mTalk | A Unified Browser-Based Consent Management Framework New Ideas and Emerging Results (NIER) Gayatri Priyadarsini Indian Institute of Technology Gandhinagar, Abhishek Bichhawat Indian Institute of Technology Gandhinagar | ||
11:45 15mTalk | Predicting Attrition among Software Professionals: Antecedents and Consequences of Burnout and Engagement Journal-first Papers Bianca Trinkenreich Colorado State University, Fabio Marcos De Abreu Santos Colorado State University, USA, Klaas-Jan Stol Lero; University College Cork; SINTEF Digital | ||
12:00 7mTalk | A Controlled Experiment in Age and Gender Bias When Reading Technical Articles in Software Engineering Journal-first Papers Anda Liang Vanderbilt University, Emerson Murphy-Hill Microsoft, Westley Weimer University of Michigan, Yu Huang Vanderbilt University | ||
12:07 7mTalk | Best ends by the best means: ethical concerns in app reviews Journal-first Papers Neelam Tjikhoeri Vrije Universiteit Amsterdam, Lauren Olson Vrije Universiteit Amsterdam, Emitzá Guzmán Vrije Universiteit Amsterdam | ||
12:14 7mTalk | Shaken, Not Stirred. How Developers Like Their Amplified Tests Journal-first Papers Carolin Brandt TU Delft, Ali Khatami Delft University of Technology, Mairieli Wessel Radboud University, Andy Zaidman TU Delft Pre-print | ||
12:21 7mTalk | Exploring User Privacy Awareness on GitHub: An Empirical Study Journal-first Papers Costanza Alfieri Università degli Studi dell'Aquila, Juri Di Rocco University of L'Aquila, Paola Inverardi Gran Sasso Science Institute, Phuong T. Nguyen University of L’Aquila | ||
11:00 - 12:30 | Security and Analysis 2Research Track at 210 Chair(s): Jordan Samhi University of Luxembourg, Luxembourg | ||
11:00 15mTalk | A Study of Undefined Behavior Across Foreign Function Boundaries in Rust LibrariesSecurity Research Track Ian McCormack Carnegie Mellon University, Joshua Sunshine Carnegie Mellon University, Jonathan Aldrich Carnegie Mellon University Pre-print | ||
11:15 15mTalk | Cooperative Software Verification via Dynamic Program SplittingSecurity Research Track Cedric Richter University of Oldenburg, Marek Chalupa Institute of Science and Technology Austria, Marie-Christine Jakobs LMU Munich, Germany, Heike Wehrheim University of Oldenburg | ||
11:30 15mTalk | Exposing the Hidden Layer: Software Repositories in the Service of SEO ManipulationSecurity Research Track Mengying Wu Fudan University, Geng Hong Fudan University, Wuyuao Mai Fudan University, Xinyi Wu Fudan University, Lei Zhang Fudan University, Yingyuan Pu QI-ANXIN Technology Research Institute, Huajun Chai QI-ANXIN Technology Research Institute, Lingyun Ying Qi An Xin Group Corp., Haixin Duan Institute for Network Science and Cyberspace, Tsinghua University; Qi An Xin Group Corp., Min Yang Fudan University | ||
11:45 15mTalk | Hetrify: Efficient Verification of Heterogeneous Programs on RISC-VSecurityAward Winner Research Track Yiwei Li School of Computer, National Univer sity of Defense Technology, Liangze Yin School of Computer, National Univer sity of Defense Technology, Wei Dong National University of Defense Technology, Jiaxin Liu National University of Defense Technology, Yanfeng Hu School of Computer, National Univer sity of Defense Technology, Shanshan Li National University of Defense Technology | ||
12:00 15mTalk | Hyperion: Unveiling DApp Inconsistencies using LLM and Dataflow-Guided Symbolic ExecutionSecurity Research Track Shuo Yang Sun Yat-sen University, Xingwei Lin Ant Group, Jiachi Chen Sun Yat-sen University, Qingyuan Zhong Sun Yat-sen University, Lei Xiao Sun Yat-sen University, renke huang Sun Yat-sen University, Yanlin Wang Sun Yat-sen University, Zibin Zheng Sun Yat-sen University | ||
12:15 15mTalk | SmartReco: Detecting Read-Only Reentrancy via Fine-Grained Cross-DApp AnalysisSecurity Research Track Jingwen Zhang School of Software Engineering, Sun Yat sen University, Zibin Zheng Sun Yat-sen University, Yuhong Nan Sun Yat-sen University, Mingxi Ye Sun Yat-sen University, Kaiwen Ning Sun Yat-sen University, Yu Zhang Harbin Institute of Technology, Weizhe Zhang Harbin Institute of Technology | ||
11:00 - 12:30 | Design and Architecture 1Research Track / SE In Practice (SEIP) / Journal-first Papers at 211 Chair(s): Tushar Sharma Dalhousie University | ||
11:00 15mTalk | A Catalog of Micro Frontends Anti-patterns Research Track Nabson Silva UFAM - Federal University of Amazonas, Eriky Rodrigues UFAM - Federal University of Amazonas Brazil, Tayana Conte Universidade Federal do Amazonas | ||
11:15 15mTalk | PairSmell: A Novel Perspective Inspecting Software Modular Structure Research Track Chenxing Zhong Nanjing University, Daniel Feitosa University of Groningen, Paris Avgeriou Univ. of Gronningen , Huang Huang State Grid Nanjing Power Supply Company, Yue Li Nanjing University, He Zhang Nanjing University Pre-print | ||
11:30 15mTalk | Understanding Architectural Complexity, Maintenance Burden, and Developer Sentiment---a Large-Scale Study Research Track Yuanfang Cai Drexel University, Lanting He Google, Yony Kochinski Google, Jun Qian Google, Ciera Jaspan Google, Nan Zhang Google, Antonio Bianco Google | ||
11:45 15mTalk | A Large-Scale Exploratory Study on the Proxy Pattern in EthereumBlockchain Journal-first Papers Amir Ebrahimi Queen's University, Bram Adams Queen's University, Gustavo A. Oliva Queen's University, Ahmed E. Hassan Queen’s University | ||
12:00 15mTalk | Video Game Procedural Content Generation Through Software Transplantation SE In Practice (SEIP) Mar Zamorano López University College London, Daniel Blasco SVIT Research Group. Universidad San Jorge, Carlos Cetina , Federica Sarro University College London | ||
11:00 - 12:30 | AI for Analysis 4Research Track / New Ideas and Emerging Results (NIER) / SE In Practice (SEIP) at 212 Chair(s): Maliheh Izadi Delft University of Technology, Ali Al-Kaswan Delft University of Technology, Netherlands, Jonathan Katzy Delft University of Technology | ||
11:00 15mTalk | RepairAgent: An Autonomous, LLM-Based Agent for Program Repair Research Track Islem BOUZENIA University of Stuttgart, Prem Devanbu University of California at Davis, Michael Pradel University of Stuttgart Pre-print | ||
11:15 15mTalk | Evaluating Agent-based Program Repair at Google SE In Practice (SEIP) Patrick Rondon Google, Renyao Wei Google, José Pablo Cambronero Google, USA, Jürgen Cito TU Wien, Aaron Sun Google, Siddhant Sanyam Google, Michele Tufano Google, Satish Chandra Google, Inc | ||
11:30 15mTalk | Anomaly Detection in Large-Scale Cloud Systems: An Industry Case and Dataset SE In Practice (SEIP) Mohammad Saiful Islam Toronto Metropolitan University, Toronto, Canada, Mohamed Sami Rakha Toronto Metropolitan University, Toronto, Canada, William Pourmajidi Toronto Metropolitan University, Toronto, Canada, Janakan Sivaloganathan Toronto Metropolitan University, Toronto, Canada, John Steinbacher IBM, Andriy Miranskyy Toronto Metropolitan University (formerly Ryerson University) Pre-print | ||
11:45 15mTalk | Crash Report Prioritization for Large-Scale Scheduled Launches SE In Practice (SEIP) Nimmi Rashinika Weeraddana University of Waterloo, Sarra Habchi Ubisoft Montréal, Shane McIntosh University of Waterloo | ||
12:00 15mTalk | LogLM: From Task-based to Instruction-based Automated Log Analysis SE In Practice (SEIP) Yilun Liu Huawei co. LTD, Yuhe Ji Huawei co. LTD, Shimin Tao University of Science and Technology of China; Huawei co. LTD, Minggui He Huawei co. LTD, Weibin Meng Huawei co. LTD, Shenglin Zhang Nankai University, Yongqian Sun Nankai University, Yuming Xie Huawei co. LTD, Boxing Chen Huawei Canada, Hao Yang Huawei co. LTD Pre-print | ||
12:15 7mTalk | Using ML filters to help automated vulnerability repairs: when it helps and when it doesn’tSecurity New Ideas and Emerging Results (NIER) Maria Camporese University of Trento, Fabio Massacci University of Trento; Vrije Universiteit Amsterdam Pre-print | ||
11:00 - 12:30 | |||
11:00 15mTalk | ASTER: Natural and Multi-language Unit Test Generation with LLMsAward Winner SE In Practice (SEIP) Rangeet Pan IBM Research, Myeongsoo Kim Georgia Institute of Technology, Rahul Krishna IBM Research, Raju Pavuluri IBM T.J. Watson Research Center, Saurabh Sinha IBM Research Pre-print | ||
11:15 15mTalk | Automated Code Review In Practice SE In Practice (SEIP) Umut Cihan Bilkent University, Vahid Haratian Bilkent Univeristy, Arda İçöz Bilkent University, Mert Kaan Gül Beko, Ömercan Devran Beko, Emircan Furkan Bayendur Beko, Baykal Mehmet Ucar Beko, Eray Tüzün Bilkent University Pre-print | ||
11:30 15mTalk | CI at Scale: Lean, Green, and Fast SE In Practice (SEIP) Dhruva Juloori Uber Technologies, Inc, Zhongpeng Lin Uber Technologies Inc., Matthew Williams Uber Technologies, Inc, Eddy Shin Uber Technologies, Inc, Sonal Mahajan Uber Technologies Inc. | ||
11:45 15mTalk | Moving Faster and Reducing Risk: Using LLMs in Release DeploymentAward Winner SE In Practice (SEIP) Rui Abreu Meta, Vijayaraghavan Murali Meta Platforms Inc., Peter C Rigby Meta / Concordia University, Chandra Sekhar Maddila Meta Platforms, Inc., Weiyan Sun Meta Platforms, Inc., Jun Ge Meta Platforms, Inc., Kaavya Chinniah Meta Platforms, Inc., Audris Mockus University of Tennessee, Megh Mehta Meta Platforms, Inc., Nachiappan Nagappan Meta Platforms, Inc. | ||
12:00 15mTalk | Prioritizing Large-scale Natural Language Test Cases at OPPO SE In Practice (SEIP) Haoran Xu , Chen Zhi Zhejiang University, Tianyu Xiang Guangdong Oppo Mobile Telecommunications Corp., Ltd., Zixuan Wu Zhejiang University, Gaorong Zhang Zhejiang University, Xinkui Zhao Zhejiang University, Jianwei Yin Zhejiang University, Shuiguang Deng Zhejiang University; Alibaba-Zhejiang University Joint Institute of Frontier Technologies | ||
12:15 15mTalk | Search+LLM-based Testing for ARM Simulators SE In Practice (SEIP) Bobby Bruce University of California at Davis, USA, Aidan Dakhama King's College London, Karine Even-Mendoza King’s College London, William B. Langdon University College London, Hector Menendez King’s College London, Justyna Petke University College London | ||
11:00 - 12:30 | SE for AI with Quality 1Research Track at 215 Chair(s): Chris Poskitt Singapore Management University | ||
11:00 15mTalk | A Tale of Two DL Cities: When Library Tests Meet CompilerSE for AI Research Track Qingchao Shen Tianjin University, Yongqiang Tian , Haoyang Ma Hong Kong University of Science and Technology, Junjie Chen Tianjin University, Lili Huang College of Intelligence and Computing, Tianjin University, Ruifeng Fu Tianjin University, Shing-Chi Cheung Hong Kong University of Science and Technology, Zan Wang Tianjin University | ||
11:15 15mTalk | Iterative Generation of Adversarial Example for Deep Code ModelsSE for AIAward Winner Research Track | ||
11:30 15mTalk | On the Mistaken Assumption of Interchangeable Deep Reinforcement Learning ImplementationsSE for AI Research Track Rajdeep Singh Hundal National University of Singapore, Yan Xiao Sun Yat-sen University, Xiaochun Cao Sun Yat-Sen University, Jin Song Dong National University of Singapore, Manuel Rigger National University of Singapore Pre-print Media Attached File Attached | ||
11:45 15mTalk | µPRL: a Mutation Testing Pipeline for Deep Reinforcement Learning based on Real FaultsSE for AI Research Track Deepak-George Thomas Tulane University, Matteo Biagiola Università della Svizzera italiana, Nargiz Humbatova Università della Svizzera italiana, Mohammad Wardat Oakland University, USA, Gunel Jahangirova King's College London, Hridesh Rajan Tulane University, Paolo Tonella USI Lugano Pre-print | ||
12:00 15mTalk | Testing and Understanding Deviation Behaviors in FHE-hardened Machine Learning ModelsSE for AI Research Track Yiteng Peng Hong Kong University of Science and Technology, Daoyuan Wu Hong Kong University of Science and Technology, Zhibo Liu Hong Kong University of Science and Technology, Dongwei Xiao Hong Kong University of Science and Technology, Zhenlan Ji The Hong Kong University of Science and Technology, Juergen Rahmel HSBC, Shuai Wang Hong Kong University of Science and Technology | ||
12:15 15mTalk | TraceFL: Interpretability-Driven Debugging in Federated Learning via Neuron ProvenanceSE for AI Research Track Pre-print | ||
11:00 - 12:30 | AI for SE 3New Ideas and Emerging Results (NIER) / Journal-first Papers / Research Track / SE In Practice (SEIP) at Canada Hall 1 and 2 Chair(s): Ying Zou Queen's University, Kingston, Ontario | ||
11:00 15mTalk | A First Look at Conventional Commits Classification Research Track Qunhong Zeng Beijing Institute of Technology, Yuxia Zhang Beijing Institute of Technology, Zhiqing Qiu Beijing Institute of Technology, Hui Liu Beijing Institute of Technology | ||
11:15 15mTalk | ChatGPT-Based Test Generation for Refactoring Engines Enhanced by Feature Analysis on Examples Research Track Chunhao Dong Beijing Institute of Technology, Yanjie Jiang Peking University, Yuxia Zhang Beijing Institute of Technology, Yang Zhang Hebei University of Science and Technology, Hui Liu Beijing Institute of Technology | ||
11:30 15mTalk | SECRET: Towards Scalable and Efficient Code Retrieval via Segmented Deep Hashing Research Track Wenchao Gu The Chinese University of Hong Kong, Ensheng Shi Xi’an Jiaotong University, Yanlin Wang Sun Yat-sen University, Lun Du Microsoft Research, Shi Han Microsoft Research, Hongyu Zhang Chongqing University, Dongmei Zhang Microsoft Research, Michael Lyu The Chinese University of Hong Kong | ||
11:45 15mTalk | UniGenCoder: Merging Seq2Seq and Seq2Tree Paradigms for Unified Code Generation New Ideas and Emerging Results (NIER) Liangying Shao School of Informatics, Xiamen University, China, Yanfu Yan William & Mary, Denys Poshyvanyk William & Mary, Jinsong Su School of Informatics, Xiamen University, China | ||
12:00 15mTalk | How is Google using AI for internal code migrations? SE In Practice (SEIP) Stoyan Nikolov Google, Inc., Daniele Codecasa Google, Inc., Anna Sjovall Google, Inc., Maxim Tabachnyk Google, Siddharth Taneja Google, Inc., Celal Ziftci Google, Satish Chandra Google, Inc | ||
12:15 7mTalk | LLM-Based Test-Driven Interactive Code Generation: User Study and Empirical Evaluation Journal-first Papers Sarah Fakhoury Microsoft Research, Aaditya Naik University of Pennsylvania, Georgios Sakkas University of California at San Diego, Saikat Chakraborty Microsoft Research, Shuvendu K. Lahiri Microsoft Research Link to publication | ||
12:22 7mTalk | The impact of Concept drift and Data leakage on Log Level Prediction Models Journal-first Papers Youssef Esseddiq Ouatiti Queen's university, Mohammed Sayagh ETS Montreal, University of Quebec, Noureddine Kerzazi Ensias-Rabat, Bram Adams Queen's University, Ahmed E. Hassan Queen’s University, Youssef Esseddiq Ouatiti Queen's university | ||
13:00 - 13:30 | Fri Lunch Posters 13:00-13:30SE in Society (SEIS) / Journal-first Papers / Demonstrations / Research Track / New Ideas and Emerging Results (NIER) at Canada Hall 3 Poster Area | ||
13:00 30mTalk | Strategies to Embed Human Values in Mobile Apps: What do End-Users and Practitioners Think? SE in Society (SEIS) Rifat Ara Shams CSIRO's Data61, Mojtaba Shahin RMIT University, Gillian Oliver Monash University, Jon Whittle CSIRO's Data61 and Monash University, Waqar Hussain Data61, CSIRO, Harsha Perera CSIRO's Data61, Arif Nurwidyantoro Universitas Gadjah Mada | ||
13:00 30mTalk | Best ends by the best means: ethical concerns in app reviews Journal-first Papers Neelam Tjikhoeri Vrije Universiteit Amsterdam, Lauren Olson Vrije Universiteit Amsterdam, Emitzá Guzmán Vrije Universiteit Amsterdam | ||
13:00 30mPoster | HyperCRX 2.0: A Comprehensive and Automated Tool for Empowering GitHub Insights Demonstrations Yantong Wang East China Normal University, Shengyu Zhao Tongji University, will wang , Fenglin Bi East China Normal University | ||
13:00 30mPoster | Your Fix Is My Exploit: Enabling Comprehensive DL Library API Fuzzing with Large Language Models Research Track Kunpeng Zhang The Hong Kong University of Science and Technology, Shuai Wang Hong Kong University of Science and Technology, Jitao Han Central University of Finance and Economics, Xiaogang Zhu The University of Adelaide, Xian Li Swinburne University of Technology, Shaohua Wang Central University of Finance and Economics, Sheng Wen Swinburne University of Technology | ||
13:00 30mTalk | Using ML filters to help automated vulnerability repairs: when it helps and when it doesn’tSecurity New Ideas and Emerging Results (NIER) Maria Camporese University of Trento, Fabio Massacci University of Trento; Vrije Universiteit Amsterdam Pre-print | ||
13:00 30mTalk | Shaken, Not Stirred. How Developers Like Their Amplified Tests Journal-first Papers Carolin Brandt TU Delft, Ali Khatami Delft University of Technology, Mairieli Wessel Radboud University, Andy Zaidman TU Delft Pre-print | ||
13:00 30mTalk | Exploring User Privacy Awareness on GitHub: An Empirical Study Journal-first Papers Costanza Alfieri Università degli Studi dell'Aquila, Juri Di Rocco University of L'Aquila, Paola Inverardi Gran Sasso Science Institute, Phuong T. Nguyen University of L’Aquila | ||
14:00 - 15:30 | |||
14:00 15mTalk | Decoding the Issue Resolution Process In Practice via Issue Report Analysis: A Case Study of Firefox Research Track Pre-print | ||
14:15 15mTalk | Preserving Privacy in Software Composition Analysis: A Study of Technical Solutions and Enhancements Research Track Huaijin Wang Ohio State University, Zhibo Liu Hong Kong University of Science and Technology, Yanbo Dai The Hong Kong University of Science and Technology (Guangzhou), Shuai Wang Hong Kong University of Science and Technology, Qiyi Tang Tencent Security Keen Lab, Sen Nie Tencent Security Keen Lab, Shi Wu Tencent Security Keen Lab | ||
14:30 15mTalk | UML is Back. Or is it? Investigating the Past, Present, and Future of UML in Open Source Software Research Track Joseph Romeo Software Institute - USI, Lugano, Switzerland, Marco Raglianti Software Institute - USI, Lugano, Csaba Nagy , Michele Lanza Software Institute - USI, Lugano Pre-print | ||
14:45 15mTalk | Understanding the Response to Open-Source Dependency Abandonment in the npm EcosystemAward Winner Research Track Courtney Miller Carnegie Mellon University, Mahmoud Jahanshahi University of Tennessee, Audris Mockus University of Tennessee, Bogdan Vasilescu Raj Reddy Associate Professor of Software and Societal Systems, Carnegie Mellon University, USA, Christian Kästner Carnegie Mellon University | ||
15:00 15mTalk | Understanding Compiler Bugs in Real Development Research Track Hao Zhong Shanghai Jiao Tong University | ||
15:15 15mTalk | Studying Programmers Without Programming: Investigating Expertise Using Resting State fMRI Research Track Zachary Karas Vanderbilt University, Benjamin Gold Vanderbilt University, Violet Zhou University of Michigan, Noah Reardon University of Michigan, Thad Polk University of Michigan, Catie Chang Vanderbilt University, Yu Huang Vanderbilt University | ||
14:00 - 15:30 | Testing and QA 5Research Track / Journal-first Papers / New Ideas and Emerging Results (NIER) / Demonstrations at 205 Chair(s): Giovanni Denaro University of Milano - Bicocca | ||
14:00 15mTalk | Leveraging Propagated Infection to Crossfire Mutants Research Track Hang Du University of California at Irvine, Vijay Krishna Palepu Microsoft, James Jones University of California at Irvine File Attached | ||
14:15 15mTalk | IFSE: Taming Closed-box Functions in Symbolic Execution via Fuzz Solving Demonstrations Qichang Wang East China Normal University, Chuyang Chen The Ohio State University, Ruiyang Xu East China Normal University, Haiying Sun East China Normal University, Chengcheng Wan East China Normal University, Ting Su East China Normal University, Yueling Zhang East China Normal University, Geguang Pu East China Normal University, China | ||
14:30 15mTalk | Takuan: Using Dynamic Invariants To Debug Order-Dependent Flaky Tests New Ideas and Emerging Results (NIER) Nate Levin Yorktown High School, Chengpeng Li University of Texas at Austin, Yule Zhang George Mason University, August Shi The University of Texas at Austin, Wing Lam George Mason University | ||
14:45 15mTalk | Vision Transformer Inspired Automated Vulnerability RepairSecurity Journal-first Papers Michael Fu The University of Melbourne, Van Nguyen Monash University, Kla Tantithamthavorn Monash University, Dinh Phung Monash University, Australia, Trung Le Monash University, Australia | ||
15:00 15mTalk | ZigZagFuzz: Interleaved Fuzzing of Program Options and Files Journal-first Papers Ahcheong Lee KAIST, Youngseok Choi KAIST, Shin Hong Chungbuk National University, Yunho Kim Hanyang University, Kyutae Cho LIG Nex1 AI R&D, Moonzoo Kim KAIST / VPlusLab Inc. | ||
15:15 15mTalk | Reducing the Length of Field-replay Based Load Testing Journal-first Papers Yuanjie Xia University of Waterloo, Lizhi Liao Memorial University of Newfoundland, Jinfu Chen Wuhan University, Heng Li Polytechnique Montréal, Weiyi Shang University of Waterloo | ||
14:00 - 15:30 | Design and Architecture 2Journal-first Papers / Research Track at 211 Chair(s): Yuanfang Cai Drexel University, Jan Keim Karlsruhe Institute of Technology (KIT) | ||
14:00 15mTalk | An Exploratory Study on the Engineering of Security FeaturesSecurity Research Track Kevin Hermann Ruhr University Bochum, Sven Peldszus Ruhr University Bochum, Jan-Philipp Steghöfer XITASO GmbH IT & Software Solutions, Thorsten Berger Ruhr University Bochum Pre-print | ||
14:15 15mTalk | DesignRepair: Dual-Stream Design Guideline-Aware Frontend Repair with Large Language Models Research Track Mingyue Yuan The university of new South Wales, Jieshan Chen CSIRO's Data61, Zhenchang Xing CSIRO's Data61, Aaron Quigley CSIRO's Data61, Yuyu Luo HKUST (GZ), Tianqi Luo HKUST (GZ), Gelareh Mohammadi The university of new South Wales, Qinghua Lu Data61, CSIRO, Liming Zhu CSIRO’s Data61 | ||
14:30 15mTalk | Fidelity of Cloud Emulators: The Imitation Game of Testing Cloud-based Software Research Track Anna Mazhar Cornell University, Saad Sher Alam University of Illinois Urbana-Champaign, William Zheng University of Illinois Urbana-Champaign, Yinfang Chen University of Illinois at Urbana-Champaign, Suman Nath Microsoft Research, Tianyin Xu University of Illinois at Urbana-Champaign | ||
14:45 15mTalk | Formally Verified Cloud-Scale AuthorizationAward Winner Research Track Aleks Chakarov Amazon Web Services, Jaco Geldenhuys Amazon Web Services, Matthew Heck Amazon Web Services, MIchael Hicks Amazon, Samuel Huang Amazon Web Services, Georges-Axel Jaloyan Amazon Web Services, Anjali Joshi Amazon, K. Rustan M. Leino Amazon, Mikael Mayer Automated Reasoning Group, Amazon Web Services, Sean McLaughlin Amazon Web Services, Akhilesh Mritunjai Amazon.com, Clement Pit-Claudel EPFL, Sorawee Porncharoenwase Amazon Web Services, Florian Rabe Amazon Web Services, Marianna Rapoport Amazon Web Services, Giles Reger Amazon Web Services, Cody Roux Amazon Web Services, Neha Rungta Amazon Web Services, Robin Salkeld Amazon Web Services, Matthias Schlaipfer Amazon Web Services, Daniel Schoepe Amazon, Johanna Schwartzentruber Amazon Web Services, Serdar Tasiran Amazon, n.n., Aaron Tomb Amazon, Emina Torlak Amazon Web Services, USA, Jean-Baptiste Tristan Amazon, Lucas Wagner Amazon Web Services, Michael Whalen Amazon Web Services and the University of Minnesota, Remy Willems Amazon, Tongtong Xiang Amazon Web Services, Taejoon Byun University of Minnesota, Joshua M. Cohen Princeton University, Ruijie Fang University of Texas at Austin, Junyoung Jang McGill University, Jakob Rath TU Wien, Hira Taqdees Syeda , Dominik Wagner University of Oxford, Yongwei Yuan Purdue University | ||
15:00 15mTalk | The Same Only Different: On Information Modality for Configuration Performance Analysis Research Track Hongyuan Liang University of Electronic Science and Technology of China, Yue Huang University of Electronic Science and Technology of China, Tao Chen University of Birmingham Pre-print | ||
15:15 7mTalk | Identifying Performance Issues in Cloud Service Systems Based on Relational-Temporal Features Journal-first Papers Wenwei Gu The Chinese University of Hong Kong, Jinyang Liu Chinese University of Hong Kong, Zhuangbin Chen Sun Yat-sen University, Jianping Zhang The Chinese University of Hong Kong, Yuxin Su Sun Yat-sen University, Jiazhen Gu Chinese University of Hong Kong, Cong Feng Huawei Cloud Computing Technology, Zengyin Yang Computing and Networking Innovation Lab, Huawei Cloud Computing Technology Co., Ltd, Yongqiang Yang Huawei Cloud Computing Technology, Michael Lyu The Chinese University of Hong Kong | ||
14:00 - 15:30 | AI for Analysis 5Research Track / New Ideas and Emerging Results (NIER) at 212 Chair(s): Tien N. Nguyen University of Texas at Dallas | ||
14:00 15mTalk | 3DGen: AI-Assisted Generation of Provably Correct Binary Format Parsers Research Track Sarah Fakhoury Microsoft Research, Markus Kuppe Microsoft Research, Shuvendu K. Lahiri Microsoft Research, Tahina Ramananandro Microsoft Research, Nikhil Swamy Microsoft Research Pre-print | ||
14:15 15mTalk | Aligning the Objective of LLM-based Program Repair Research Track Junjielong Xu The Chinese University of Hong Kong, Shenzhen, Ying Fu Chongqing University, Shin Hwei Tan Concordia University, Pinjia He Chinese University of Hong Kong, Shenzhen Pre-print | ||
14:30 15mTalk | Revisiting Unnaturalness for Automated Program Repair in the Era of Large Language Models Research Track Aidan Z.H. Yang Carnegie Mellon University, Sophia Kolak Carnegie Mellon University, Vincent J. Hellendoorn Carnegie Mellon University, Ruben Martins Carnegie Mellon University, Claire Le Goues Carnegie Mellon University | ||
14:45 15mTalk | The Fact Selection Problem in LLM-Based Program Repair Research Track Nikhil Parasaram Uber Amsterdam, Huijie Yan University College London, Boyu Yang University College London, Zineb Flahy University College London, Abriele Qudsi University College London, Damian Ziaber University College London, Earl T. Barr University College London, Sergey Mechtaev Peking University | ||
15:00 15mTalk | Towards Understanding the Characteristics of Code Generation Errors Made by Large Language Models Research Track Zhijie Wang University of Alberta, Zijie Zhou University of Illinois Urbana-Champaign, Da Song University of Alberta, Yuheng Huang University of Alberta, Canada, Shengmai Chen Purdue University, Lei Ma The University of Tokyo & University of Alberta, Tianyi Zhang Purdue University Pre-print | ||
15:15 15mTalk | Beyond Syntax: How Do LLMs Understand Code? New Ideas and Emerging Results (NIER) Marc North Durham University, Amir Atapour-Abarghouei Durham University, Nelly Bencomo Durham University | ||
14:00 - 15:30 | |||
14:00 15mTalk | Repository-Level Graph Representation Learning for Enhanced Security Patch DetectionSecurity Research Track Xin-Cheng Wen Harbin Institute of Technology, Zirui Lin Harbin Institute of Technology, Shenzhen, Cuiyun Gao Harbin Institute of Technology, Hongyu Zhang Chongqing University, Yong Wang Anhui Polytechnic University, Qing Liao Harbin Institute of Technology | ||
14:15 15mTalk | FAMOS: Fault diagnosis for Microservice Systems through Effective Multi-modal Data FusionSecurity Research Track Chiming Duan Peking University, Yong Yang Peking University, Tong Jia Institute for Artificial Intelligence, Peking University, Beijing, China, Guiyang Liu Alibaba, Jinbu Liu Alibaba, Huxing Zhang Alibaba Group, Qi Zhou Alibaba, Ying Li School of Software and Microelectronics, Peking University, Beijing, China, Gang Huang Peking University | ||
14:30 15mTalk | Leveraging Large Language Models to Detect npm Malicious PackagesSecurity Research Track Nusrat Zahan North Carolina State University, Philipp Burckhardt Socket, Inc, Mikola Lysenko Socket, Inc, Feross Aboukhadijeh Socket, Inc, Laurie Williams North Carolina State University | ||
14:45 15mTalk | Magika: AI-Powered Content-Type DetectionSecurity Research Track Yanick Fratantonio Google, Luca Invernizzi Google, Loua Farah Google, Kurt Thomas Google, Marina Zhang Google, Ange Albertini Google, Francois Galilee Google, Giancarlo Metitieri Google, Julien Cretin Google, Alex Petit-Bianco Google, David Tao Google, Elie Bursztein Google | ||
15:00 15mTalk | Closing the Gap: A User Study on the Real-world Usefulness of AI-powered Vulnerability Detection & Repair in the IDESecurity Research Track Benjamin Steenhoek Microsoft, Siva Sivaraman Microsoft, Renata Saldivar Gonzalez Microsoft, Yevhen Mohylevskyy Microsoft, Roshanak Zilouchian Moghaddam Microsoft, Wei Le Iowa State University | ||
15:15 15mTalk | Show Me Your Code! Kill Code Poisoning: A Lightweight Method Based on Code NaturalnessSecurity Research Track Weisong Sun Nanjing University, Yuchen Chen Nanjing University, Mengzhe Yuan Nanjing University, Chunrong Fang Nanjing University, Zhenpeng Chen Nanyang Technological University, Chong Wang Nanyang Technological University, Yang Liu Nanyang Technological University, Baowen Xu State Key Laboratory for Novel Software Technology, Nanjing University, Zhenyu Chen Nanjing University Pre-print Media Attached | ||
16:00 - 17:30 | ProcessNew Ideas and Emerging Results (NIER) / Journal-first Papers / Research Track / SE In Practice (SEIP) at 203 Chair(s): Luigi Benedicenti University of New Brunswick | ||
16:00 15mTalk | Full Line Code Completion: Bringing AI to Desktop SE In Practice (SEIP) Anton Semenkin JetBrains, Vitaliy Bibaev JetBrains, Yaroslav Sokolov JetBrains, Kirill Krylov JetBrains, Alexey Kalina JetBrains, Anna Khannanova JetBrains, Danila Savenkov JetBrains, Darya Rovdo JetBrains, Igor Davidenko JetBrains, Kirill Karnaukhov JetBrains, Maxim Vakhrushev JetBrains, Mikhail Kostyukov JetBrains, Mikhail Podvitskii JetBrains, Petr Surkov JetBrains, Yaroslav Golubev JetBrains Research, Nikita Povarov JetBrains, Timofey Bryksin JetBrains Research Pre-print | ||
16:15 15mTalk | Automated Accessibility Analysis of Dynamic Content Changes on Mobile Apps Research Track Forough Mehralian University of California at Irvine, Ziyao He University of California, Irvine, Sam Malek University of California at Irvine | ||
16:30 15mTalk | Qualitative Surveys in Software Engineering Research: Definition, Critical Review, and GuidelinesResearch Methods Journal-first Papers Jorge Melegati Free University of Bozen-Bolzano, Kieran Conboy University of Galway, Daniel Graziotin University of Hohenheim Link to publication DOI | ||
16:45 15mTalk | VulNet: Towards improving vulnerability management in the Maven ecosystemSecurity Journal-first Papers Zeyang Ma Concordia University, Shouvick Mondal IIT Gandhinagar, Tse-Hsun (Peter) Chen Concordia University, Haoxiang Zhang Centre for Software Excellence at Huawei Canada, Ahmed E. Hassan Queen’s University, Zeyang Ma Concordia University | ||
17:00 15mTalk | Energy-Aware Software Testing New Ideas and Emerging Results (NIER) Roberto Verdecchia University of Florence, Emilio Cruciani European University of Rome, Antonia Bertolino Gran Sasso Science Institute, Breno Miranda Centro de Informática at Universidade Federal de Pernambuco Pre-print | ||
17:15 7mTalk | SusDevOps: Promoting Sustainability to a First Principle in Software Delivery New Ideas and Emerging Results (NIER) Istvan David McMaster University / McMaster Centre for Software Certification (McSCert) | ||
16:00 - 17:30 | Testing and QA 6Journal-first Papers / Research Track / Demonstrations at 205 Chair(s): Majid Babaei McGill University | ||
16:00 15mTalk | Characterizing Timeout Builds in Continuous Integration Journal-first Papers Nimmi Weeraddana University of Waterloo, Mahmoud Alfadel University of Calgary, Shane McIntosh University of Waterloo | ||
16:15 15mTalk | GeMTest: A General Metamorphic Testing Framework Demonstrations Pre-print | ||
16:30 15mTalk | Mole: Efficient Crash Reproduction in Android Applications With Enforcing Necessary UI Events Journal-first Papers Maryam Masoudian Sharif University of Technology, Hong Kong University of Science and Technology (HKUST), Heqing Huang City University of Hong Kong, Morteza Amini Sharif University of Technology, Charles Zhang Hong Kong University of Science and Technology | ||
16:45 15mTalk | History-Driven Fuzzing for Deep Learning Libraries Journal-first Papers Nima Shiri Harzevili York University, Mohammad Mahdi Mohajer York University, Moshi Wei York University, Hung Viet Pham York University, Song Wang York University | ||
17:00 15mTalk | Towards a Cognitive Model of Dynamic Debugging: Does Identifier Construction Matter? Journal-first Papers Danniell Hu University of Michigan, Priscila Santiesteban University of Michigan, Madeline Endres University of Massachusetts Amherst, Westley Weimer University of Michigan | ||
17:15 15mTalk | Janus: Detecting Rendering Bugs in Web Browsers via Visual Delta Consistency Research Track Chijin Zhou Tsinghua University, Quan Zhang Tsinghua University, Bingzhou Qian National University of Defense Technology, Yu Jiang Tsinghua University | ||
16:00 - 17:30 | |||
16:00 15mTalk | EP-Detector: Automatic Detection of Error-prone Operation Anomalies in Android ApplicationsSecurity Research Track Chenkai Guo Nankai University, China, Qianlu Wang College of Cyber Science, Nankai University, Naipeng Dong The University of Queensland, Australia, Lingling Fan Nankai University, Tianhong Wang College of Computer Science, Nankai University, Weijie Zhang College of Computer Science, Nankai University, EnBao Chen College of Cyber Science, Nankai University, Zheli Liu Nankai University, Lu Yu National University of Defense Technology; Anhui Province Key Laboratory of Cyberspace Security Situation Awareness and Evaluation | ||
16:15 15mTalk | Mobile Application Coverage: The 30% Curse and Ways Forward Research Track Faridah Akinotcho University of British Columbia, Canada, Lili Wei McGill University, Julia Rubin The University of British Columbia Pre-print | ||
16:30 15mTalk | The Design Smells Breaking the Boundary between Android Variants and AOSP Research Track Wuxia Jin Xi'an Jiaotong University, Jiaowei Shang Xi'an Jiaotong University, Jianguo Zheng Xi'an Jiaotong University, Mengjie Sun Xi’an Jiaotong University, Zhenyu Huang Honor Device Co., Ltd., Ming Fan Xi'an Jiaotong University, Ting Liu Xi'an Jiaotong University | ||
16:45 15mTalk | Scenario-Driven and Context-Aware Automated Accessibility Testing for Android Apps Research Track Yuxin Zhang Tianjin University, Sen Chen Nankai University, Xiaofei Xie Singapore Management University, Zibo Liu College of Intelligence and Computing, Tianjin University, Lingling Fan Nankai University | ||
17:00 15mTalk | TacDroid: Detection of Illicit Apps through Hybrid Analysis of UI-based Transition Graphs Research Track Yanchen Lu Zhejiang University, Hongyu Lin Zhejiang University, Zehua He Zhejiang University, Haitao Xu Zhejiang University, Zhao Li Hangzhou Yugu Technology, Shuai Hao Old Dominion University, Liu Wang Beijing University of Posts and Telecommunications, Haoyu Wang Huazhong University of Science and Technology, Kui Ren Zhejiang University | ||
17:15 15mTalk | PacDroid: A Pointer-Analysis-Centric Framework for Security Vulnerabilities in Android AppsSecurity Research Track Menglong Chen Nanjing University, Tian Tan Nanjing University, Minxue Pan Nanjing University, Yue Li Nanjing University | ||
16:00 - 17:30 | Security and QAResearch Track / Journal-first Papers / SE In Practice (SEIP) at 210 Chair(s): Nafiseh Kahani Carleton University | ||
16:00 15mTalk | ROSA: Finding Backdoors with FuzzingSecurity Research Track Dimitri Kokkonis Université Paris-Saclay, CEA, List, Michaël Marcozzi Université Paris-Saclay, CEA, List, Emilien Decoux Université Paris-Saclay, CEA List, Stefano Zacchiroli LTCI, Télécom Paris, Institut Polytechnique de Paris, Palaiseau, France Link to publication DOI Pre-print Media Attached File Attached | ||
16:15 15mTalk | Analyzing the Feasibility of Adopting Google's Nonce-Based CSP Solutions on WebsitesSecurity Research Track Mengxia Ren Colorado School of Mines, Anhao Xiang Colorado School of Mines, Chuan Yue Colorado School of Mines | ||
16:30 15mTalk | Early Detection of Performance Regressions by Bridging Local Performance Data and Architectural ModelsSecurityAward Winner Research Track Lizhi Liao Memorial University of Newfoundland, Simon Eismann University of Würzburg, Heng Li Polytechnique Montréal, Cor-Paul Bezemer University of Alberta, Diego Elias Costa Concordia University, Canada, André van Hoorn University of Hamburg, Germany, Weiyi Shang University of Waterloo | ||
16:45 15mTalk | Revisiting the Performance of Deep Learning-Based Vulnerability Detection on Realistic DatasetsSecurity Journal-first Papers Partha Chakraborty University of Waterloo, Krishna Kanth Arumugam University of Waterloo, Mahmoud Alfadel University of Calgary, Mei Nagappan University of Waterloo, Shane McIntosh University of Waterloo | ||
17:00 15mTalk | Sunflower: Enhancing Linux Kernel Fuzzing via Exploit-Driven Seed Generation SE In Practice (SEIP) Qiang Zhang Hunan University, Yuheng Shen Tsinghua University, Jianzhong Liu Tsinghua University, Yiru Xu Tsinghua University, Heyuan Shi Central South University, Yu Jiang Tsinghua University, Wanli Chang College of Computer Science and Electronic Engineering, Hunan University | ||
17:15 15mTalk | Practical Object-Level Sanitizer With Aggregated Memory Access and Custom AllocatorSecurity Research Track Xiaolei wang National University of Defense Technology, Ruilin Li National University of Defense Technology, Bin Zhang National University of Defense Technology, Chao Feng National University of Defense Technology, Chaojing Tang National University of Defense Technology | ||
16:00 - 17:30 | AI for ProcessSE In Practice (SEIP) / Demonstrations / New Ideas and Emerging Results (NIER) at 212 Chair(s): Keheliya Gallaba Centre for Software Excellence, Huawei Canada | ||
16:00 15mTalk | OptCD: Optimizing Continuous Development Demonstrations Talank Baral George Mason University, Emirhan Oğul Middle East Technical University, Shanto Rahman The University of Texas at Austin, August Shi The University of Texas at Austin, Wing Lam George Mason University | ||
16:15 15mTalk | LLMs as Evaluators: A Novel Approach to Commit Message Quality Assessment New Ideas and Emerging Results (NIER) Abhishek Kumar Indian Institute of Technology, Kharagpur, Sandhya Sankar Indian Institute of Technology, Kharagpur, Sonia Haiduc Florida State University, Partha Pratim Das Indian Institute of Technology, Kharagpur, Partha Pratim Chakrabarti Indian Institute of Technology, Kharagpur | ||
16:30 15mTalk | Towards Realistic Evaluation of Commit Message Generation by Matching Online and Offline Settings SE In Practice (SEIP) Petr Tsvetkov JetBrains Research, Aleksandra Eliseeva JetBrains Research, Danny Dig University of Colorado Boulder, JetBrains Research, Alexander Bezzubov JetBrains, Yaroslav Golubev JetBrains Research, Timofey Bryksin JetBrains Research, Yaroslav Zharov JetBrains Research Pre-print | ||
16:45 15mTalk | Enhancing Differential Testing: LLM-Powered Automation in Release Engineering SE In Practice (SEIP) Ajay Krishna Vajjala George Mason University, Arun Krishna Vajjala George Mason University, Carmen Badea Microsoft Research, Christian Bird Microsoft Research, Robert DeLine Microsoft Research, Jason Entenmann Microsoft Research, Nicole Forsgren Microsoft Research, Aliaksandr Hramadski Microsoft, Sandeepan Sanyal Microsoft, Oleg Surmachev Microsoft, Thomas Zimmermann University of California, Irvine, Haris Mohammad Microsoft, Jade D'Souza Microsoft, Mikhail Demyanyuk Microsoft | ||
17:00 15mTalk | How much does AI impact development speed? An enterprise-based randomized controlled trial SE In Practice (SEIP) Elise Paradis Google, Inc, Kate Grey Google, Quinn Madison Google, Daye Nam Google, Andrew Macvean Google, Inc., Nan Zhang Google, Ben Ferrari-Church Google, Satish Chandra Google, Inc | ||
17:15 15mTalk | Using Reinforcement Learning to Sustain the Performance of Version Control Repositories New Ideas and Emerging Results (NIER) Shane McIntosh University of Waterloo, Luca Milanesio GerritForge Inc., Antonio Barone GerritForge Inc., Jacek Centkowski GerritForge Inc., Marcin Czech GerritForge Inc., Fabio Ponciroli GerritForge Inc. Pre-print | ||
16:00 - 17:30 | AI for Security 3Research Track / New Ideas and Emerging Results (NIER) at 213 Chair(s): Tien N. Nguyen University of Texas at Dallas | ||
16:00 15mTalk | GVI: Guided Vulnerability Imagination for Boosting Deep Vulnerability DetectorsSecurity Research Track Heng Yong Nanjing University, Zhong Li , Minxue Pan Nanjing University, Tian Zhang Nanjing University, Jianhua Zhao Nanjing University, China, Xuandong Li Nanjing University | ||
16:15 15mTalk | Decoding Secret Memorization in Code LLMs Through Token-Level CharacterizationSecurity Research Track Yuqing Nie Beijing University of Posts and Telecommunications, Chong Wang Nanyang Technological University, Kailong Wang Huazhong University of Science and Technology, Guoai Xu Harbin Institute of Technology, Shenzhen, Guosheng Xu Key Laboratory of Trustworthy Distributed Computing and Service (MoE), Beijing University of Posts and Telecommunications, Haoyu Wang Huazhong University of Science and Technology | ||
16:30 15mTalk | Are We Learning the Right Features? A Framework for Evaluating DL-Based Software Vulnerability Detection SolutionsSecurity Research Track Satyaki Das University of Southern California, Syeda Tasnim Fabiha University of Southern California, Saad Shafiq University of Southern California, Nenad Medvidović University of Southern California Pre-print Media Attached File Attached | ||
16:45 15mTalk | Boosting Static Resource Leak Detection via LLM-based Resource-Oriented Intention InferenceSecurity Research Track Chong Wang Nanyang Technological University, Jianan Liu Fudan University, Xin Peng Fudan University, Yang Liu Nanyang Technological University, Yiling Lou Fudan University | ||
17:00 15mTalk | Weakly-supervised Log-based Anomaly Detection with Inexact Labels via Multi-instance LearningSecurity Research Track Minghua He Peking University, Tong Jia Institute for Artificial Intelligence, Peking University, Beijing, China, Chiming Duan Peking University, Huaqian Cai Peking University, Ying Li School of Software and Microelectronics, Peking University, Beijing, China, Gang Huang Peking University | ||
17:15 7mTalk | Towards Early Warning and Migration of High-Risk Dormant Open-Source Software DependenciesSecurity New Ideas and Emerging Results (NIER) Zijie Huang Shanghai Key Laboratory of Computer Software Testing and Evaluation, Lizhi Cai Shanghai Key Laboratory of Computer Software Testing & Evaluating, Shanghai Software Center, Xuan Mao Department of Computer Science and Engineering, East China University of Science and Technology, Shanghai, China, Kang Yang Shanghai Key Laboratory of Computer Software Testing and Evaluating, Shanghai Development Center of Computer Software Technology | ||
16:00 - 17:30 | |||
16:00 15mTalk | QuanTest: Entanglement-Guided Testing of Quantum Neural Network SystemsQuantum Journal-first Papers Jinjing Shi Central South University, Zimeng Xiao Central South University, Heyuan Shi Central South University, Yu Jiang Tsinghua University, Xuelong LI China Telecom Link to publication | ||
16:15 15mTalk | Quantum Approximate Optimization Algorithm for Test Case OptimizationQuantum Journal-first Papers Xinyi Wang Simula Research Laboratory; University of Oslo, Shaukat Ali Simula Research Laboratory and Oslo Metropolitan University, Tao Yue Beihang University, Paolo Arcaini National Institute of Informatics
| ||
16:30 15mTalk | Testing Multi-Subroutine Quantum Programs: From Unit Testing to Integration TestingQuantum Journal-first Papers Peixun Long Institute of High Energy Physics, Chinese Academy of Science, Jianjun Zhao Kyushu University | ||
16:45 15mTalk | Mitigating Noise in Quantum Software Testing Using Machine LearningQuantum Journal-first Papers Asmar Muqeet Simula Research Laboratory and University of Oslo, Tao Yue Beihang University, Shaukat Ali Simula Research Laboratory and Oslo Metropolitan University, Paolo Arcaini National Institute of Informatics
, Asmar Muqeet Simula Research Laboratory and University of Oslo | ||
17:00 15mTalk | Test Case Minimization with Quantum AnnealingQuantum Journal-first Papers Xinyi Wang Simula Research Laboratory; University of Oslo, Asmar Muqeet Simula Research Laboratory and University of Oslo, Tao Yue Beihang University, Shaukat Ali Simula Research Laboratory and Oslo Metropolitan University, Paolo Arcaini National Institute of Informatics
| ||
17:15 7mTalk | When Quantum Meets Classical: Characterizing Hybrid Quantum-Classical Issues Discussed in Developer ForumsQuantum Research Track Jake Zappin William and Mary, Trevor Stalnaker William & Mary, Oscar Chaparro William & Mary, Denys Poshyvanyk William & Mary | ||
16:00 - 17:30 | SE for AI with Quality 3Research Track / SE In Practice (SEIP) at 215 Chair(s): Sumon Biswas Case Western Reserve University | ||
16:00 15mTalk | Improved Detection and Diagnosis of Faults in Deep Neural Networks Using Hierarchical and Explainable ClassificationSE for AI Research Track Sigma Jahan Dalhousie University, Mehil Shah Dalhousie University, Parvez Mahbub Dalhousie University, Masud Rahman Dalhousie University Pre-print | ||
16:15 15mTalk | Lightweight Concolic Testing via Path-Condition Synthesis for Deep Learning LibrariesSE for AI Research Track Sehoon Kim , Yonghyeon Kim UNIST, Dahyeon Park UNIST, Yuseok Jeon UNIST, Jooyong Yi UNIST, Mijung Kim UNIST | ||
16:30 15mTalk | Mock Deep Testing: Toward Separate Development of Data and Models for Deep LearningSE for AI Research Track Ruchira Manke Tulane University, USA, Mohammad Wardat Oakland University, USA, Foutse Khomh Polytechnique Montréal, Hridesh Rajan Tulane University | ||
16:45 15mTalk | RUG: Turbo LLM for Rust Unit Test GenerationSE for AI Research Track Xiang Cheng Georgia Institute of Technology, Fan Sang Georgia Institute of Technology, Yizhuo Zhai Georgia Institute of Technology, Xiaokuan Zhang George Mason University, Taesoo Kim Georgia Institute of Technology Pre-print Media Attached File Attached | ||
17:00 15mTalk | Test Input Validation for Vision-based DL Systems: An Active Learning Approach SE In Practice (SEIP) Delaram Ghobari University of Ottawa, Mohammad Hossein Amini University of Ottawa, Dai Quoc Tran SmartInsideAI Company Ltd. and Sungkyunkwan University, Seunghee Park SmartInsideAI Company Ltd. and Sungkyunkwan University, Shiva Nejati University of Ottawa, Mehrdad Sabetzadeh University of Ottawa Pre-print | ||
17:15 15mTalk | SEMANTIC CODE FINDER: An Efficient Semantic Search Framework for Large-Scale Codebases SE In Practice (SEIP) daeha ryu Innovation Center, Samsung Electronics, Seokjun Ko Samsung Electronics Co., Eunbi Jang Innovation Center, Samsung Electronics, jinyoung park Innovation Center, Samsung Electronics, myunggwan kim Innovation Center, Samsung Electronics, changseo park Innovation Center, Samsung Electronics | ||
16:00 - 17:30 | |||
16:00 15mTalk | An Empirical Study of Proxy Smart Contracts at the Ethereum Ecosystem ScaleBlockchain Research Track Mengya Zhang The Ohio State University, Preksha Shukla George Mason University, Wuqi Zhang Mega Labs, Zhuo Zhang Purdue University, Pranav Agrawal George Mason University, Zhiqiang Lin The Ohio State University, Xiangyu Zhang Purdue University, Xiaokuan Zhang George Mason University | ||
16:15 15mTalk | Demystifying and Detecting Cryptographic Defects in Ethereum Smart ContractsBlockchainAward Winner Research Track Jiashuo Zhang Peking University, China, Yiming Shen Sun Yat-sen University, Jiachi Chen Sun Yat-sen University, Jianzhong Su Sun Yat-sen University, Yanlin Wang Sun Yat-sen University, Ting Chen University of Electronic Science and Technology of China, Jianbo Gao Peking University, Zhong Chen | ||
16:30 15mTalk | Chord: Towards a Unified Detection of Blockchain Transaction Parallelism BugsBlockchain Research Track Yuanhang Zhou Tsinghua University, Zhen Yan Tsinghua University, Yuanliang Chen Tsinghua University, Fuchen Ma Tsinghua University, Ting Chen University of Electronic Science and Technology of China, Yu Jiang Tsinghua University | ||
16:45 15mTalk | Definition and Detection of Centralization Defects in Smart ContractsBlockchain Research Track Zewei Lin Sun Yat-sen University, Jiachi Chen Sun Yat-sen University, Jiajing Wu Sun Yat-sen University, Weizhe Zhang Harbin Institute of Technology, Zibin Zheng Sun Yat-sen University | ||
17:00 15mTalk | Fork State-Aware Differential Fuzzing for Blockchain Consensus ImplementationsBlockchain Research Track Won Hoi Kim KAIST, Hocheol Nam KAIST, Muoi Tran ETH Zurich, Amin Jalilov KAIST, Zhenkai Liang National University of Singapore, Sang Kil Cha KAIST, Min Suk Kang KAIST DOI Pre-print | ||
17:15 15mTalk | Code Cloning in Solidity Smart Contracts: Prevalence, Evolution, and Impact on DevelopmentBlockchain Research Track Ran Mo Central China Normal University, Haopeng Song Central China Normal University, Wei Ding Central China Normal University, Chaochao Wu Central China Normal University | ||
Accepted Papers
Call for Papers
Scope
We are interested in social, technical, and/or socio-technical research approaches that have been applied to investigate and explain societal problems in depth and/or to address or to support solutions to societal problems. We especially welcome papers studying diversity, inclusion, belonging, and representation. Equally, we are interested in sharing case studies, success stories, failures and lessons learned from working in highly complex problem spaces such as climate change, public health, cyber-security and democracy. We are interested in software engineering tools, processes, architectures, methods, frameworks, and theories that are relevant in these settings. SEIS authors are encouraged to contribute soundly motivated and novel research, both mature and emerging. SEIS welcomes multi- and inter-disciplinary research showcasing how software engineering can contribute to the many dimensions of software embedded in and influencing society.
We encourage all submissions to discuss the broader impacts of their work. What impact will this work have, or has already had, on the world and on diversity, inclusion, belonging, and representation? How does the work engage with underrepresented groups to bring new perspectives on research? These impacts should be directly related to the research focus of the paper.
Submission Types
- Full research paper, up to 10 pages documenting results and findings, where the research presented has followed established research methods;
- Short research paper, up to 4 pages, reporting novel approaches that have not been fully evaluated, which will be presented as a poster;
- Experience report, up to 10 pages, reporting on real-world problems and innovative solutions, or tools;
- Opinion, vision, method, meta-research paper, up to 4 pages, reporting on well-founded arguments to support diversity and inclusion.
For all papers, references may use 2 extra pages beyond the page limits stated above.
Evaluation
The primary criteria for acceptance of a paper submitted to SEIS are the scientific quality of the paper and the extent to which the paper meets the SEIS track goals and scope. The SEIS program committee will undertake the assessment with regard to the following criteria:
- relevance to the Software Engineering community,
- impact to society,
- soundness of the technical contribution,
- originality of the paper,
- appropriate consideration of relevant literature,
- acknowledgment of broader impacts, and
- clarity of presentation.
Each submission will be reviewed by at least three members of the program committee.
For full research papers, all the above criteria are expected to be met as much as possible and to a high degree. Evaluation of short papers may focus on one of the criteria more to make up for some weaknesses in another. For example, evaluating the “soundness of the contribution” may be limited for papers presenting approaches that have not been fully evaluated, and greater attention may be paid to the “originality” criterion in such cases. For experience reports, “appropriate consideration of relevant literature” will be interpreted as at a level appropriate for an experience report, i.e. not a full or systematic review but due consideration of closely related research and practitioner works. For opinion, vision, method, and meta-research papers, “soundness of the contribution” will be evaluated by considering the soundness of the arguments presented and the feasibility of the new ideas for real-world application, whether in software practice or research.
Submission instructions and policies
- Submissions must conform to the IEEE conference proceedings template, specified in the IEEE Conference Proceedings Formatting Guidelines (title in 24pt font and full text in 10pt type, LaTeX users must use \documentclass[10pt,conference]{IEEEtran} without including the compsoc or compsocconf options).
- By submitting to this track, authors acknowledge that they are aware of and agree to be bound by the ACM Policy and Procedures on Plagiarism (https://www.acm.org/publications/policies/plagiarism) and the IEEE Plagiarism FAQ (https://www.ieee.org/publications/rights/plagiarism/plagiarism-faq.html). In particular, papers submitted to ICSE 2025 SEIS must not have been published elsewhere and must not be under review or submitted for review elsewhere whilst under consideration for ICSE 2025. Contravention of this concurrent submission policy will be deemed a serious breach of scientific ethics, and appropriate action will be taken in all such cases. To check for double submission and plagiarism issues, the chairs reserve the right to (1) share the list of submissions with the PC Chairs of other conferences with overlapping review periods and (2) use external plagiarism detection software, under contract to the ACM or IEEE, to detect violations of these policies.
- By submitting to this track, authors acknowledge that they conform to the authorship policy of the ACMhttps://www.acm.org/publications/policies/new-acm-policy-on-authorship ), and the authorship policy of the IEEE (https://journals.ieeeauthorcenter.ieee.org/become-an-ieee-journal-author/publishing-ethics/ethical-requirements/Ethical Requirements ).
- By submitting your article to an ACM Publication, you are hereby acknowledging that you and your co-authors are subject to all ACM Publications Policies, including ACM’s new Publications Policy on Research Involving Human Participants and Subjects. Alleged violations of this policy or any ACM Publications Policy will be investigated by ACM and may result in a full retraction of your paper, in addition to other potential penalties, as per ACM Publications Policy.
- Note, we use double-anonymous reviewing. Be sure to remove the list of authors from the submitted paper. If citing your own prior work, please do so in the third person to obscure the relationship you have with it. For advice, guidance, and explanation about the double-anonymous review process, see ICSE2025 Q&A page (https://conf.researchr.org/info/icse-2025/submitting-to-icse2025%3A-q%26a).
- Please ensure that you and your co-authors obtain an ORCID ID, so you can complete the publishing process for your accepted paper. ACM has been involved in ORCID from the start and we have recently made a commitment to collect ORCID IDs from all of our published authors. We are committed to improve author discoverability, ensure proper attribution and contribute to ongoing community efforts around name normalization; your ORCID ID will help in these efforts.
- All papers must be written in English.
- All papers should be made accessible to people with disabilities. See some guidelines from the folks at SIGACCESS here: https://assets21.sigaccess.org/creating_accessible_pdfs.html.
Submissions that meet the above requirements can be made via the SEIS submission site. Any submission that does not comply with these requirements may be desk rejected without further review.
SEIS Submission site: https://icse2025-seis.hotcrp.com/
Conference Attendance Expectation
If a submission is accepted, at least one author of the paper is required to register for and attend the full 3-day technical conference and present the paper. We are assuming that the conference will be in-person, and if it is virtual or hybrid, virtual presentations may be possible. These matters will be discussed with the authors closer to the date of the conference.
Important Dates
- Submissions Deadline: October 10th, 2024 - Submissions close at 23:59 AoE (Anywhere on Earth, UTC-12)
- Acceptance notification: December 15th, 2024
- Camera ready: January 10th, 2025
Contact
If there are queries regarding the CFP, please contact the SEIS Co-Chairs.
Accepted Papers
The following papers have been accepted in the ICSE 2025 SEIS Track. The papers are will be published by the IEEE and appear in the IEEE and ACM digital libraries, subject to an author submitting their camera-ready and copyright forms, and registering to attend the conference. (Authors are required to present the papers at the conference, otherwise they will be withdrawn).
Júlia Rocha Fortunato, Luana Ribeiro Soares, Gabriela Silva Alves, Edna dias Canedo, Fabiana Mendes, "Enhancing Women's Experiences in Software Engineering"
Abstract: Context: Women face many challenges in their lives, including harassment, lack of acceptance, and excessive workloads. These challenges affect their daily experiences and influence major life decisions, such as pursuing a career in IT. These issues further diminish the already low participation of women in the industry, making the field less appealing to potential newcomers. The challenges often begin before women even enroll in bachelor's programs, setting a difficult path for those aspiring to enter the software development industry. Goal: To investigate challenges women face in IT at different stages of their lives—specifically, during their last year of high school, while they are at University pursuing their bachelor's degree, and as practitioners. Furthermore, we aim to explore solutions to address these identified challenges. Research Method: To achieve this goal, we conducted a literature review using the snowballing technique to identify challenges and solutions already reported in the literature. The literature review results were used as input for workshops, in which we sought to understand the perspectives of high school women, undergraduates, and practitioners regarding the same set of challenges and solutions identified in the literature. Results: Our studies revealed that, regardless of the life stage, women feel discouraged in a toxic environment often characterized by a lack of inclusion, harassment, and the exhausting need to prove themselves. We also discovered that some challenges are specific to certain life stages; for example, issues related to maternity were mentioned only by practitioners. Conclusions: Women encounter gender-related challenges even before deciding to enter the software development field when the proportion of men and women is still similar. While issues such as feeling the need to prove themselves are mentioned at all three stages, high school women's challenges are more often directed toward convincing their parents that they are mature enough to handle their own responsibilities. As women move to the other stages, the challenge shifts to proving their competence in managing responsibilities for which they have received training. Increasing the inclusion of women in the field should, therefore, start earlier, and profound societal changes may be necessary to boost women's participation in the field.
Tags: "Human/Social", "Gender, equity and diversity"Vincenzo De Martino, Silverio Martínez-Fernández, Fabio Palomba, "Do Developers Adopt Green Architectural Tactics for ML-Enabled Systems? A Mining Software Repository Study"
Abstract: As machine learning (ML) and artificial intelligence (AI) technologies become increasingly prevalent in society, concerns about their environmental sustainability have grown. Developing and deploying ML-enabled systems, especially during training and inference, are resource-intensive, raising sustainability issues. Green AI has emerged as a response, advocating for reducing the computational demands of AI while maintaining accuracy. While recent research has identified various green tactics for developing sustainable ML-enabled systems, there is a gap in understanding the extent to which these tactics are adopted in real-world projects and whether additional, undocumented practices exist. This paper addresses these gaps by presenting a mining software repository study that evaluates the adoption of green tactics in 168 open-source ML projects on GitHub. In doing so, we introduce a novel mining mechanism based on large language models to identify and analyze green tactics within software repositories. Our results provide insights into the adoption of green tactics found in the literature and expand previous catalogs by providing 12 new tactics, with code examples to support wider implementation. This study contributes to the development of more sustainable ML systems by identifying adopted green tactics that offer substantial environmental benefits with minimal implementation effort. It provides practical insights for developers to green their systems and offers a path for future research to automate the integration of these tactics.
Tags: "Human/Social", "Green / Environmental SE", "SE for AI", "AI for SE"Gianmario Voria, Stefano Lambiase, Maria Concetta Schiavone, Gemma Catolino, Fabio Palomba, "From Expectation to Habit: Why Do Software Practitioners Adopt Fairness Toolkits?"
Abstract: As the adoption of machine learning (ML) systems continues to grow across industries, concerns about fairness and bias in these systems have taken center stage. Fairness toolkits—designed to mitigate bias in ML models—serve as critical tools for addressing these ethical concerns. However, their adoption in the context of software development remains underexplored, especially regarding the cognitive and behavioral factors driving their usage. As a deeper understanding of these factors could be pivotal in refining tool designs and promoting broader adoption, this study investigates the factors influencing the adoption of fairness toolkits from an individual perspective. Guided by the Unified Theory of Acceptance and Use of Technology (UTAUT2), we examined the factors shaping the intention to adopt and actual use of fairness toolkits. Specifically, we employed Partial Least Squares Structural Equation Modeling (PLS-SEM) to analyze data from a survey study involving practitioners in the software industry. Our findings reveal that performance expectancy and habit are the primary drivers of fairness toolkit adoption. These insights suggest that by emphasizing the effectiveness of these tools in mitigating bias and fostering habitual use, organizations can encourage wider adoption. Practical recommendations include improving toolkit usability, integrating bias mitigation processes into routine development workflows, and providing ongoing support to ensure professionals see clear benefits from regular use.
Tags: "Human/Social", "Resp SE and Ethics", "Process", "SE for AI"Steve Counsell, Giuseppe Destefanis, Rumyana Neykova, Alina Miron, Nadine Aburumman, Thomas Shippey, "There's Nothing to See Here: A Study of Deaf and Hearing Developer Use of Stack Overflow"
Abstract: In this paper, we analyse the 2022 Stack Overflow developer survey data that, for the only time, included questions on accessibility. We extracted data from both deaf and hearing developers to determine any differences in the way each used Stack Overflow; nine of the original survey questions were explored relating to frequency, nature and extent of Stack Overflow use. Our over-arching aim was to show that there were differences between the two. Based on a randomly selected sample of hearing developers however, we found no evidence of any difference between the two groups across the nine questions. When we ran the same analysis matching the two groups identically on years of coding experience, we found (counter-intuitively) marginally more difference. In fact, from eighteen tests in total, only one was statistically significant. Understanding developer accessibility issues is important, but if our results are common across software development practice, then we question the ethos of collecting accessibility data. Developers (deaf or hearing) act in the same way with respect to Stack Overflow use, irrespective of any barriers they may face.
Tags: "Human/Social", "Gender, equity and diversity", "Open Source"Kurt Schneider, Farnaz Fotrousi, Rebekka Wohlrab, "A Reference Model for Empirically Comparing LLMs with Humans"
Abstract: Large Language Models (LLM) have shown stunning abilities to carry out tasks that were previously conducted by humans. The future role of humans and the responsibilities assigned to non-human LLMs affects society fundamentally. In that context, LLMs have often been compared to humans. However, it is surprisingly difficult to make a fair empirical comparison between humans and LLMs. To address those difficulties, we aim at establishing a systematic approach to guide researchers in comparing LLMs with humans across various linguistic and cognitive tasks. We developed a reference model of the information flow in an exploratory research study. Through a literature review, we examined key differences and similarities among several existing studies. We propose a framework to support researchers in designing and executing studies, and in assessing LLMs with respect to humans. Future studies can use the reference model as guidance for designing and reporting their own unique study design by mapping key decisions to the decision points of that reference model. We want to support researchers and the society to take a maturation step in this emerging and constantly growing field.
Tags: "Human/Social", "SE for AI", "Research Methods"Matheus de Morais Leça, Ronnie de Souza Santos, "Curious, Critical Thinker, Empathetic, and Ethically Responsible: Essential Soft Skills for Data Scientists in Software Engineering"
Abstract: Background. As artificial intelligence and AI-powered systems continue to grow, the role of data scientists has become essential in software development environments. Data scientists face challenges related to managing large volumes of data and addressing the societal impacts of AI algorithms, which require a broad range of soft skills. Goal. This study aims to identify the key soft skills that data scientists need when working on AI-powered projects, with a particular focus on addressing biases that affect society. Method. We conducted a thematic analysis of 87 job postings on LinkedIn and 11 interviews with industry practitioners. The job postings came from companies in 12 countries and covered various experience levels. The interviews featured professionals from diverse backgrounds, including different genders, ethnicities, and sexual orientations, who worked with clients from South America, North America, and Europe. Results. While data scientists share many skills with other software practitioners—such as those related to coordination, engineering, and management—there is a growing emphasis on innovation and social responsibility. These include soft skills like curiosity, critical thinking, empathy, and ethical awareness, which are essential for addressing the ethical and societal implications of AI. Conclusion. Our findings indicate that data scientists working on AI-powered projects require not only technical expertise but also a solid foundation in soft skills that enable them to build AI systems responsibly, with fairness and inclusivity. These insights have important implications for recruitment and training within software companies and for ensuring the long-term success of AI-powered systems and their broader societal impact.
Tags: "Human/Social", "SE for AI", "Gender, equity and diversity"Sergio Cobos, Javier Luis Cánovas Izquierdo, "A Bot-based Approach to Manage Codes of Conduct in Open-Source Projects"
Abstract: The development of Open-Source Software (OSS) projects relies on the collaborative work of contributors, generally scattered around the world. To enable this collaboration, OSS projects are hosted on social-coding platforms like GitHub, which provide the infrastructure to host the code as well as the support for enabling the participation of the community. The potentially rich and diverse mixture of contributors in OSS projects makes their management not only a technical challenge, where automation tools and bots are usually deployed, but also a social one. To this aim, OSS projects have been increasingly deploying a declaration of their code of conduct, which defines rules to ensure a respectful and inclusive participatory environment in the community, being the Contributor Covenant the main model to follow. However, the broad adoption and enforcement of codes of conduct in OSS projects is still limited. In particular, the definition, deployment, and enforcement of codes of conduct is a very challenging task. In this paper, we propose an approach to effectively manage codes of conduct in OSS projects based on the Contributor Covenant proposal. Our solution has been implemented as a bot-based solution where bots help in the definition of codes of conduct, the monitoring of OSS projects, and the enforcement of ethical rules.
Tags: "Human/Social", "Resp SE and Ethics", "Open Source"Muneera Bano, Hashini Gunatilake, Rashina Hoda, "What Does a Software Engineer Look Like? Exploring Societal Stereotypes in LLMs"
Abstract: Large language models (LLMs) have rapidly gained popularity and are being embedded into professional applications due to their capabilities in generating human-like content. However, unquestioned reliance on their outputs and recommendations can be problematic as LLMs can reinforce societal biases and stereotypes. This study investigates how LLMs, specifically OpenAI's GPT-4 and Microsoft Copilot, can reinforce gender and racial stereotypes within the software engineering (SE) profession through both textual and graphical outputs. We used each LLM to generate 300 profiles, consisting of 100 gender-based and 50 gender-neutral profiles, for a recruitment scenario in SE roles. Recommendations were generated for each profile and evaluated against the job requirements for four distinct SE positions. Each LLM was asked to select the top 5 candidates and subsequently the best candidate for each role. Each LLM was also asked to generate images for the top 5 candidates, providing a dataset for analysing potential biases in both text-based selections and visual representations. Our analysis reveals that both models preferred male and Caucasian profiles, particularly for senior roles, and favoured images featuring traits such as lighter skin tones, slimmer body types, and younger appearances. These findings highlight underlying societal biases influence the outputs of LLMs, contributing to narrow, exclusionary stereotypes that can further limit diversity and perpetuate inequities in the SE field. As LLMs are increasingly adopted within SE research and professional practices, awareness of these biases is crucial to prevent the reinforcement of discriminatory norms and to ensure that AI tools are leveraged to promote an inclusive and equitable engineering culture rather than hinder it.
Tags: "Human/Social", "SE for AI", "Gender, equity and diversity"Minjoo Kim, Tae-Hyun Kim, Jaehyun Chung, Hyunseok Choi, Seokhyeon Min, Joon-Ho Lim, Soohyun Park, "Multi-Modal LLM-based Fully-Automated Training Dataset Generation Software Platform for Mathematics Education"
Abstract: Due to the academic and commercial successes in large-language model (LLM) software research and development, there are a lot of activities to utilize this technology. Accordingly, many successful software have been released and developed for various social applications. Among them, mathematics education is one of emerging social applications which is obviously helpful for social welfare. Aligned with the development directions of LLM technologies, the use of direct preference optimization (DPO) is considered. However, one of the biggest hurdles is the lack of training dataset. Therefore, this research introduces fully-automated training dataset generation using the advanced form of LLM, i.e., multi-modal LLM. Based on various generation results based on our multi-modal LLM, various discussions and analysis results are provided. Lastly, it has to be noted that our proposed platform can contribute to providing fair education opportunities for diverse human beings without discrimination, which is definitely beneficial for social welfare.
Tags: "Human/Social", "SE for AI", "Education"Muhammad Mainul Hossain, Banani Roy, Chanchal Roy, Kevin Schneider, "A Collaborative Framework for Cross-Domain Scientific Experiments for Society 5.0"
Abstract: The convergence of technology and human creativity in Society 5.0 demands innovative approaches to address complex scientific challenges across diverse domains, making cohesive experiments essential. The increasing complexity, diversity, and scale of data, along with the need for interdisciplinary exploration and knowledge discovery, present significant challenges. Computational scientific experiments leverage methods such as data acquisition, preprocessing, analysis, and visualization to simulate and understand intricate phenomena. However, existing interactive environments (e.g., Jupyter Notebook, Google Colab), collaborative groupware systems (e.g., Co-Taverna, iPlant Collaborative), and scientific workflow management systems (e.g., Galaxy, Kepler) often fall short in providing the automation, scalability, and reproducibility required for scientific experimentation. Additionally, they lack the usability and flexibility necessary for accommodating varying skill levels among researchers and supporting effective collaboration across domains. This paper introduces a collaborative framework designed to support cross-domain computational scientific experiments, fostering automation of complex operations, intuitive workflow composition, easy collaboration among researchers, comprehensive data and process lineage management, and seamless integration of data, tools, and experiments, allowing domain experts to focus on scientific discovery rather than the technical complexities involved. This study outlines the architecture and key features of the framework and discusses the challenges it addresses for Society 5.0. As a proof of concept, we developed prototype workflow management systems for code clone analysis, bioinformatics, image processing, and machine learning by integrating tools and services from the respective domains. We conducted case studies illustrating the creation of numerous cross-domain workflows and evaluated the framework's flexibility through tool integration via a user study. The results demonstrate its effectiveness in facilitating cross-domain scientific experimentation, aligning with the principles of Society 5.0, and fostering innovation and knowledge discovery across diverse scientific domains. Two anonymous virtual machines of the prototype are hosted at http://143.110.214.145 and http://165.22.229.234 for experimentation.
Tags: "Research Methods", "Human/Social", "Design/Architecture"Yagil Elias, Tom P. Humbert, Lauren Olson, Emitzá Guzmán, "What is unethical about software? User perceptions in the Netherlands"
Abstract: Software has the potential to improve lives. Yet, unethical and uninformed software practices are at the root of an increasing number of ethical concerns. Despite its pervasiveness, few research has analyzed end-users perspectives on the ethical issues of the software they use. We address this gap, and investigate end-user's ethical concerns in software through 19 semi-structured interviews with residents of the Netherlands. We ask a diverse group of users about their ethical concerns when using everyday software applications. We investigate the underlying reasons for their concerns and what solutions they propose to eliminate them. We find that our participants actively worry about privacy, transparency, manipulation, safety and inappropriate content; with privacy and manipulation often being at the center of their worries. Our participants demand software solutions to improve information clarity in applications and provide more control over the user experience. They further expect larger systematic changes within software practices and government regulation.
Tags: "Human/Social", "Resp SE and Ethics"Emily Vorderwülbeke, Isabella Graßl, "Belonging Beyond Code: Queer Software Engineering and Humanities Student Experiences"
Abstract: Queer students often encounter discrimination and a lack of belonging in their academic environments, contributing to higher dropout rates. This may be especially true in heteronormative male-dominated fields like software engineering, which already faces a \emph{diversity crisis}. In contrast, disciplines like humanities have a higher proportion of queer students, suggesting a more diverse academic culture. While prior research has explored queer students' challenges in STEM fields, limited attention has been given to how experiences differ between the sociotechnical, yet highly heteronormative, field of software engineering and the socioculturally inclusive humanities. This study addresses that gap by comparing 165 queer software engineering and 119 queer humanities students regarding outness, campus climate, sense of belonging, and dropout intentions. Our findings reveal that queer students in software engineering are less likely to be open about their sexuality, report a significantly lower sense of belonging, and encounter more academic challenges compared to their peers in the humanities. Despite these challenges, queer software engineering students show greater determination to continue their studies. These insights suggest that software engineering could enhance inclusivity by adopting practices commonly seen in the humanities, such as fostering acceptance and integrating inclusive policies in classrooms, to create a more welcoming academic environment where queer students can thrive.
Tags: "Human/Social", "Gender, equity and diversity", "Education"Kiev Gama, Grischa Liebel, Miguel Goulao, Aline Lacerda, Cristiana Lacerda, "A Socio-Technical Grounded Theory on the Effect of Cognitive Dysfunctions in the Performance of Software Developers with ADHD and Autism"
Abstract: The concept of neurodiversity, encompassing conditions such as Autism Spectrum Disorder (ASD), Attention-Deficit/Hyperactivity Disorder (ADHD), dyslexia, and dyspraxia, challenges traditional views of these neurodevelopmental variations as disorders and instead frames them as natural cognitive differences that contribute to unique ways of thinking and problem-solving. Within the software development industry, known for its emphasis on innovation, there is growing recognition of the value neurodivergent individuals bring to technical teams. Despite this, research on the contributions of neurodivergent individuals in Software Engineering (SE) remains limited. This interdisciplinary Socio-Technical Grounded Theory study addresses this gap by exploring the experiences of neurodivergent software engineers with ASD and ADHD, examining the cognitive and emotional challenges they face in software teams. Based on interviews and a survey with 25 neurodivergent and 5 neurotypical individuals, our theory describes how neurodivergent cognitive dysfunctions affect SE performance, and how the individuals’ individual journey and various accommodations can regulate this effect. We conclude our paper with a list of inclusive Agile practices, allowing organizations to better support neurodivergent employees and fully leverage their capabilities.
Tags: "Human/Social", "Gender, equity and diversity", "Process"Edvaldo Wassouf-Jr, Pedro Fukuda, Awdren Fontão, "Investigating the Developer eXperience of LGBTQIAPN+ People in Agile Teams"
Abstract: Diversity in the software industry is increasingly recognized for its significant advantages, despite the potential for conflicts and challenges. This study investigates the implications of diversity within agile software development teams, particularly focusing on the experiences of LGBTQIAPN+ professionals. Through an opinion survey of 40 participants, we identify critical factors affecting developer satisfaction and retention, revealing that trust, communication, and adequate support are vital for effective collaboration. Our findings indicate that less structured teams often face issues such as discrimination and inadequate inclusion policies, leading to frustration and diminished sprint performance. Moreover, participants reported higher dissatisfaction with in-person work environments, citing psychological discomfort and reduced productivity compared to remote work. This research underscores the need for targeted practices to improve visibility and support for LGBTQIAPN+ professionals, contributing to a deeper understanding of how diversity impacts agile methodologies and developer experience in the software industry.
Tags: "Human/Social", "Gender, equity and diversity"Shandler A. Mason, Hank Lenham, Sandeep Kaur Kuttal, "Breaking the Silos: An Actionable Framework for Recruiting Diverse Participants in SE"
Abstract: Inclusive Human-Centric Software Engineering (HCSE) research faces significant challenges in recruiting participants from underrepresented backgrounds, including gender, race, culture, socioeconomic status, disability, religion, sexual orientation, and age. Our study explores the recruitment barriers encountered by HCSE researchers through in-depth, semi-structured interviews with 20 professionals from academia and industry across four continents. Using an inductive approach and open coding of transcribed interview data, we identified 25 key barriers and 20 strategies, categorized into five thematic areas: participant skepticism, study design limitations, logistical and financial constraints, gatekeepers, and researcher well-being. Notably, researchers highlighted barriers such as deteriorating mental health, external criticism of their research focus, and participant reluctance rooted in historical exploitation and perceived risks. To address these challenges, we offer a set of 20 evidence-based, actionable strategies aimed at improving participant outreach and enhancing recruitment practices. Our research culminates in a comprehensive framework to support both novice and experienced researchers in overcoming recruitment barriers, fostering greater inclusion and equity in HCSE studies.
Tags: "Human/Social", "Gender, equity and diversity"Rifat Ara Shams, Mojtaba Shahin, Gillian Oliver, Jon Whittle, Waqar Hussain, Harsha Perera, Arif Nurwidyantoro, "Strategies to Embed Human Values in Mobile Apps: What do End-Users and Practitioners Think?"
Abstract: Given the ubiquity of mobile applications (apps) in daily lives, understanding and reflecting end-users' human values (e.g., transparency) in apps has become increasingly important. Violations of end users' values by software applications have been reported in the media and have resulted in a wide range of difficulties for end users. Value violations may bring more and lasting problems for marginalized and vulnerable groups of end-users. This research aims to understand the extent to which the values of Bangladeshi female farmers, marginalized and vulnerable end-users, who are less studied by the software engineering community, are reflected in agriculture apps in Bangladesh. Further to this, we aim to identify possible strategies to embed their values in those apps. To this end, we conducted a mixed-methods empirical study consisting of 13 interviews with app practitioners and four focus groups with 20 Bangladeshi female farmers. The accumulated results from the interviews and focus groups identified 22 values of Bangladeshi female farmers, which the participants expect to be reflected in the agriculture apps. Among these 22 values, 15 values (e.g., accuracy) are already reflected and 7 values (e.g., accessibility) are ignored/violated in the existing agriculture apps. We also identified 14 strategies (e.g., "applying human-centered approaches to elicit values") to address Bangladeshi female farmers' values in agriculture apps.
Tags: "Human/Social", "User experience", "Mobile SW"Ahmad Azarnik, Davoud Mougouei, Mahdi Fahmideh, Elahe Mougouei, Hoa Khanh Dam, Arif Ali Khan, Saima Rafi, Javed Khan, Aakash Ahmad, "A First Look at AI Trends in Value-Aligned Software Engineering Publications: Human-LLM Insights"
Abstract: Recent criticism of major social media platforms by the U.S. Senate Judiciary Committee for neglecting child safety and privacy lawsuits against Google over ambiguous location tracking exemplify how software can undermine human values with societal, reputational, and financial impacts. The integration of AI into modern software has further complicated this through inherent challenges like biases and lack of transparency. But AI can also offer opportunities to embed values in software, for instance, by employing natural language processing (NLP) for privacy regulation compliance checks. To explore these opportunities, we have utilized the automated reasoning abilities of ChatGPT, as a large language model (LLM), in combination with human expertise, to study the use of AI in software engineering (SE) publications that address human values (Value-Aligned publications) across some of the leading SE venues from 2022 to 2023. The findings underwent a comprehensive human evaluation, confirming that AI was used in 27% of the value-aligned publications, primarily addressing pragmatic aspects of software, such as Achievement and Security. In contrast, socially focused altruistic values like Equality, Peace, and Social Justice remain underrepresented.
Tags: "Human/Social", "AI for SE", "Gender, equity and diversity", "Security"Gennaro Zanfardino, Antinisca Di Marco, Michele Tucci, "Designing a Tool for Evacuation Plan Validation: Multi-Agent Simulations with Persona-Based UI"
Abstract: Natural disasters (such as earthquakes) are unpredictable events that cannot be foreseen, so the unique strategy we have to reduce their impact and the risks for the citizens is to do prevention. In this context, we propose a methodology we followed to develop a highly customizable tool aimed at validating urban evacuation plans. Built with a focus on persona-based user interface (UI) design, the tool leverages software engineering methodologies to ensure scalability, dynamicity (e.g., simulating unpredictable events during the disaster), and adaptive UI for diverse user groups, including urban planners, civil protection agencies, and safety plan managers. By integrating agent-based models with Geographic Information Systems, the tool provides data-driven simulations that can be used to validate evacuation strategies. The tool was evaluated through two case studies conducted considering various urban environments, enabling iterative development through ongoing requirements elicitation and refinement in collaboration with the user groups.
Tags: "User experience", "Human/Social", "Design/Architecture"Yeqian Li, Kousar Aslam, "Ethical Issues in Video Games: Insights from Reddit Discussions"
Abstract: Over the past few decades, the video game industry has seen exponential growth, evolving from basic entertainment into a sophisticated medium featuring immersive graphics, intricate storytelling, and highly interactive experiences. This rapid expansion has brought a host of ethical concerns to the forefront, including issues related to violence, gender representation, race, addictive game mechanics, and monetization fairness. These concerns have sparked ongoing debates on social media, yet public discussions on these matters remain largely unresearched. To address this gap, we conducted an exploratory study of ethical issues in video games by analyzing Reddit discussions through both manual analysis and machine learning techniques. We collected and examined 19,843 posts from a diverse set of stakeholders, including game designers, developers, players, and the people related to the players. Our findings offer researchers a foundation for further studies on the impact of specific ethical issues, aids practitioners in the development of more ethically grounded practices and facilitates regulatory bodies for shaping future policies. We also found that machine learning techniques are effective for extracting information about ethical issues in video games from large volumes of Reddit posts.
Tags: "Human/Social", "Games", "Resp SE and Ethics", "AI for SE"Sonja M. Hyrynsalmi, Grischa Liebel, Ronnie de Souza Santos, Sebastian Baltes, "Not real or too soft? On the challenges of publishing interdisciplinary software engineering research"
Abstract: The discipline of software engineering (SE) combines social and technological dimensions. It is an interdisciplinary research field. However, interdisciplinary research submitted to software engineering venues may not receive the same level of recognition as more technical and traditional SE subjects, such as software testing. In this study, we conducted a survey of 73 SE researchers and used a mixed-method data analysis approach to investigate their challenges and recommendations in publishing interdisciplinary research in SE. Our results revealed that marginalized groups are more likely to receive negative feedback, and experienced researchers are less likely to change their research direction because of the feedback they receive. We also identified that the challenges of publishing interdisciplinary research in SE can be divided into topic-related and review-related challenges. As a solution to these challenges, our respondents emphasized the importance of highlighting the impact and value of interdisciplinary work for SE, collaborating with experienced researchers, and establishing clearer submission guidelines and new interdisciplinary SE publication venues. Our findings contribute to the understanding of the SE research community of how to better support interdisciplinary research in our field.
Tags: "Human/Social", "Research Methods", "Gender, equity and diversity"Important Dates AoE (UTC-12h)
| Fri 10 Jan 2025 Camera ready |
| Sun 15 Dec 2024 Acceptance notification |
| Thu 10 Oct 2024 Submission Deadline |
Ghizlane El BoussaidiSoftware Engineering in Society Co-Chair
École de Technologie Supérieure
Canada
Paola InverardiSoftware Engineering in Society Co-Chair
Gran Sasso Science Institute (GSSI)
Italy
Nicolas AnquetilCommittee Member
University of Lille, Lille, France
France
Marco AutiliCommittee Member
University of L'Aquila, Italy
Italy
Nicolas BoltzCommittee Member
Karlsruhe Institute of Technology (KIT)
Germany
Fabio CalefatoCommittee Member
University of Bari
Italy
Ruzanna ChitchyanCommittee Member
University of Bristol
United Kingdom
Martina De SanctisCommittee Member
Gran Sasso Science Institute
Italy
Robert DyerCommittee Member
University of Nebraska-Lincoln
United States
Kiev GamaCommittee Member
Universidade Federal de Pernambuco
Brazil
John GrundyCommittee Member
Monash University
Australia
Emitzá GuzmánCommittee Member
Vrije Universiteit Amsterdam
Netherlands
Omar HaggagCommittee Member
Monash University, Australia
Australia
Wahab Hamou-LhadjCommittee Member
Concordia University, Montreal, Canada
Canada
Sonja HyrynsalmiCommittee Member
LUT University
Finland
Akinori IharaCommittee Member
Wakayama University
Japan
Letizia JaccheriCommittee Member
Norwegian University of Science and Technology (NTNU)
Norway
Mohamad KassabCommittee Member
Boston University, USA
Patricia LagoCommittee Member
Vrije Universiteit Amsterdam
Netherlands
Monica LandoniCommittee Member
Grischa LiebelCommittee Member
Reykjavik University
Iceland
Roberto LopezCommittee Member
ETS Montreal, University of Quebec
Canada
Inmaculada Medina-BuloCommittee Member
Universidad de Cádiz
Spain
Raffaela MirandolaCommittee Member
Karlsruhe Institute of Technology (KIT)
Germany
Naouel MohaCommittee Member
École de Technologie Supérieure (ETS)
Canada
Ipek OzkayaCommittee Member
Carnegie Mellon University
United States
Huilian Sophie QiuCommittee Member
Northwestern University
Chanchal K. RoyCommittee Member
University of Saskatchewan
Canada
Witawas Srisa-anCommittee Member
University of Nebraska-Lincoln
United States
Margaret-Anne StoreyCommittee Member
University of Victoria
Mary Sánchez-GordónCommittee Member
Østfold University College
Norway
Mahyar T. MoghaddamCommittee Member
University of Southern Denmark
Denmark
Dalila TamzalitCommittee Member
Nantes Université
France
Chouki TibermacineCommittee Member
IRISA, CNRS and University of Southern Brittany
France
Gias UddinCommittee Member
York University, Canada
Canada
Marco Tulio ValenteCommittee Member
Federal University of Minas Gerais, Brazil
Andreea VescanCommittee Member
Babes-Bolyai University
Romania
Ronnie de Souza SantosCommittee Member
University of Calgary
Canada