APSEC 2024
Tue 3 - Fri 6 December 2024 China

The purpose of SEIP (Software Engineering in Practice) track offers a unique opportunity for practitioners from industry and academia to share their valuable experiences, insights, pragmatic research issues and the best practices in the software engineering community. As part of the APSEC2024 conference, the SEIP Track aims to foster collaboration and mutual learning between these two vital sectors. We welcome submissions from industrial practitioners and academic researchers that align with the general topics outlined in the technical research track, as well as emerging technical topics such as AI, autonomous, safety, SoS (System of systems).

SEIP Invited Talks

1. Yinan Wang (Huawei)

Title: Evaluation Methods and Practices for Large Code Models

Abstract: Large code models are the core "brains" of AI developer tools like GitHub Copilot and Cursor. The strength of a model's coding capabilities directly relates to the product's ability and market competitiveness. Nowadays, there are more and more types of large code models being open sourced and trained within enterprises, with increasingly powerful capabilities, how to select a suitable and excellent model for AI developer tools and continuously iterate the model to enhance product capabilities has become one of the key issues that need to be addressed in intelligent code products. How to comprehensively, accurately, and quickly evaluate the code capabilities of each model, and through evaluation feedback, promote the next round of model iteration? This is a problem that various intelligent code product teams are exploring and practicing.

Bio: Tencent Technical Product Expert, Head of Intelligent Software Engineering Data and Evaluation Team. Formerly the Product Lead of Baidu's Engineering Efficiency Department and Product Director of OSChina. Bachelor's and Master's degree in Software Engineering from Beihang University. Committed to enhancing organizational research and development efficiency by designing software development efficiency tools and promoting the implementation of software engineering practices. He was the main author of company’s software engineering guidelines and led the planning, design, and system development of multiple enterprise-level R&D efficiency platforms.


2. Chao Peng (ByteDance)

Title: MarsCode Agent: Automated Program Repair based on Large Language Models

Abstract: In recent years, advancements in large language models (LLMs) have shown great potential in automating various software development tasks, including code completion, test generation, and bug fixing. However, due to the complexity and diversity of real-world software systems, the application of LLMs in automated bug fixing still faces many challenges. To address these issues, we propose MarsCode Agent, a new framework that leverages LLMs to automatically identify and fix errors in software code. MarsCode Agent combines the powerful capabilities of LLMs with advanced code analysis techniques to accurately locate faults and generate patches. Our approach follows a systematic process, including planning, bug reproduction, fault localization, candidate patch generation, and validation, to ensure high-quality bug fixes. Evaluations on SWE-bench and deployments in real-world enterprise code repositories demonstrate that MarsCode Agent achieves a high success rate in bug fixing compared to most existing automated methods.

Bio: Dr. Chao Peng is a Senior Researcher at ByteDance. He received his PhD degree from the University of Edinburgh under supervision of Prof. Ajitha Rajan. At ByteDance, he is in the Software Engineering Lab, MarsCode IDE Team. His research interest lies in the area of software testing, program repair and optimisations, and the synergy with machine learning and compiler techniques. He is also responsible for academic development and university collaboration. He has published research and industry papers on conferences such as ICSE, FSE, ASE and ICSME and serve as the PC member of FSE.


3. Xing Hu (Zhejiang University)

Title: LLM for Code: Generation, Testing, and Evaluation

Abstract: Recently, Large Language Models (LLMs) such as ChatGPT has attracted great attention from both academia and industry. They have shown substantial gains in solving a variety of problems ranging from Q&A to text summarization. Existing studies also found that some LLMs can be applied to the source code, such as code generation or debugging. However, their performance on various software engineering tasks has not been systematically investigated, and the understanding of LLMs is arguably fairly limited. Also, it is unclear how we can build software engineering capability based on LLM. In this talk, I will discuss the performance of LLMs on software development and maintenance, including code generation and test generation. I will also present some software engineering applications based on LLM (e.g., vulnerability management, code search, and code idioms mining).

Bio: Xing Hu is an associate professor at school of software technology, Zhejiang University (ZJU). She got her Ph.D degree in July 2020 from School of Electronics Engineering and Computer Science (EECS), Peking University, China. Her research interests are intelligent software engineering (e.g., intelligent code generation and test case generation) and mining software repositories. In recent years, she has published more than 50 papers in TSE, TOSEM, ICSE, FSE, ASE and other conferences and journals. She is the associate editors of TOSEM and JSEP. She has also served as a program committee member for many top conferences such as FSE, ISSTA, and ASE.


4. Zhifeng Li (Huazhi Future)

Title: Artificial Intelligence Catalyzes a New Paradigm for Industrial Development

Abstract: The rapid development of artificial intelligence is driving a significant transformation in industrial IT development models. The application of artificial intelligence spans many fields, including industry, agriculture, healthcare, and culture. It not only serves as a tool but also represents a transformation in production methods, leading to profound changes in social production relations. This talk will discuss the impact and facilitative role of artificial intelligence on typical industries, as well as the changes and risks it brings to human society.

Bio: Dr Li is a chairman of Huazhi Future (Chongqing) Technology Co., Ltd. He received his Doctor of Physics from the University of Vienna. He mainly engages in research and industrial incubation in the fields of information technology, big data, and artificial intelligence. He published numerous papers in international journals, obtained more than ten national patents including invention patents, and undertook several provincial and national level research projects. He has extensive experience in the industrialization development of high and new technology and has given lectures to various government departments. He is a recipient of the National Outstanding Self-Financed Student Scholarship, and serves as a panel member for many entrepreneurship competitions such as Chongqing Postdoctoral Innovation and Entrepreneurship Competition.

Dates
Tracks
Plenary

This program is tentative and subject to change.

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Wed 4 Dec

Displayed time zone: Beijing, Chongqing, Hong Kong, Urumqi change

10:30 - 11:00
Coffee BreakCatering at Grand Hall Lobby
10:30
30m
Coffee break
Break
Catering

11:00 - 12:20
11:00
40m
Industry talk
SEIP Invited Talk - Evaluation Methods and Practices for Large Code Models
SEIP - Software Engineering in Practice
Yinan Wang Huawei
11:40
40m
Industry talk
SEIP Invited Talk - MarsCode Agent: Automated Program Repair based on Large Language Models
SEIP - Software Engineering in Practice
Chao Peng ByteDance
Link to publication
12:30 - 14:00
12:30
90m
Lunch
Lunch
Catering

14:00 - 17:30
14:00
3h30m
Poster
A two-stage approach for GitHub issue links identification and classification (Poster)
ERA - Early Research Achievements
Yingying He Nanjing University of Aeronautics and Astronautics, Wenhua Yang Nanjing University of Aeronautics and Astronautics
14:00
3h30m
Poster
AFLGo_D: A Novel Power Schedule Scheme Considering Multiple Factors Dynamically for Directed Fuzzing (Poster)
Technical Track
Wang Jiaxin , Zhitao He School of Computer Science and Engineering, Beihang University
14:00
3h30m
Poster
MRTCNN: A Lightweight Approach for Predicting Metamorphic Relations (Poster)
Technical Track
Bo Yang Beijing Forestry University, Huai Liu Swinburne University of Technology, Xu Wang North China University of Technology
14:00
3h30m
Poster
Arising Challenges for Assuring Maritime Software Reliability in the AI Era (Poster)
ERA - Early Research Achievements
14:00
3h30m
Poster
Smells of Misunderstanding in File Path Patterns within Dockerignore (Poster)
ERA - Early Research Achievements
Tomoki Nakamaru The University of Tokyo
14:00
3h30m
Poster
Efficient Floating-point Error Detection for Numerical Programs via Error-Free Transformations (Poster)
ERA - Early Research Achievements
Wei Yao Changsha University of Science & Technology, Zhang Jingke National University of Defense Technology;Changsha University of Science & Technology, Xin Yi National University of Defense Technology
14:00
3h30m
Poster
Difference Syntax Trees for Characterising Student in Programming Course (Poster)
ERA - Early Research Achievements
Kouta Aoki National Institute of Technology (KOSEN), Nara College, Hidetake Uwano National Institute of Technology, Nara College, Japan
14:00
3h30m
Poster
CEGen: Cause-Effect Graph Generation Using Large Language Models (Poster)
Technical Track
14:00 - 15:30
Session (1)Technical Track at Room 1 (Zunhui Room)
Chair(s): William Chu TungHai University
14:00
30m
Talk
Unraveling the Potential of Large Language Models in Code Translation: How Far Are We?
Technical Track
Qingxiao Tao School of Software, Shanghai Jiao Tong University, Shanghai, China, Tingrui Yu School of Software, Shanghai Jiao Tong University, Shanghai, China, Xiaodong Gu Shanghai Jiao Tong University, Beijun Shen Shanghai Jiao Tong University
14:30
30m
Talk
Effective Vulnerability Detection over Code Token Graph: A GCN with Score Gate Based Approach
Technical Track
Nong Zou Southwest University, Nan Li Southwest University, Junxiang Zhang Southwest University, Xiaomeng Wang Southwest University, Hong Lai Southwest University, Tao Jia Southwest University
15:00
30m
Talk
Putting APIs in the Right Order with Gated Graph Neural Networks
Technical Track
Ling Wan Nanjing University, Ping Yu Nanjing University, Yuan Yao Nanjing University
14:00 - 15:30
Session (2)Technical Track at Room 2 (Xiangshan Ballroom)
Chair(s): Jianjun Zhao Kyushu University
14:00
30m
Talk
CDHF: Coordination Driven Hybrid Fuzzing for EOSIO Smart Contracts
Technical Track
Yongxu Han Hebei University, Meng Wang Hebei university
14:30
30m
Talk
A DNN Fuzz Testing Method Based on Gradient-weighted Class Activation Map
Technical Track
Zhouning Chen Sichuan University, Qiaoyun Liu Sichuan University, Shengxin Dai Sichuan University, Qiuhui Yang Sichuan University
15:00
30m
Talk
Prioritizing Test Cases through Dual-uncertainty Evaluating for Road Disease Detection System
Technical Track
Niu Chenxu College of Computer Science, ChongQing University, Huijun Liu College of Computer Science, Chongqing University, Ao Li School of Big Data & Software Engineering, Chongqing University, Tianhao Xiao College of Computer Science, Chongqing University, Zhimin Ruan China Merchants Chongqing Communications Technology Research & Design Institute Co. Ltd., Yongxin Ge School of Big Data & Software Engineering, Chongqing University
14:00 - 15:30
Session (3)Technical Track at Room 3 (Xiangquan Ballroom)
Chair(s): Ian Gorton Northeastern University – Seattle, USA
14:00
30m
Talk
Integrating Feedback From Application Reviews Into Software Development for Improved User Satisfaction
Technical Track
Omar Adbealziz University of Saskatchewan, Zadia Codabux University of Saskatchewan, Kevin Schneider University of Saskatchewan
14:30
30m
Talk
Analyzing and Detecting Toxicities in Developer Online Chatrooms: A Fine-Grained Taxonomy and Automated Detection Approach
Technical Track
Junyi Tian Zhejiang University, Lingfeng Bao Zhejiang University, Shengyi Pan , Xing Hu Zhejiang University
15:00
30m
Talk
Adversarial Classification Rumor Detection based on Social Communication Networks and Time Series Features
Technical Track
Xinyu Zhang Sun Yat-sen University, Zixin Chang Chongqing University, Junhao Wen Chongqing University, Wei Zhou Chongqing University, Li Li Beihang University
14:00 - 15:30
Session (4)Technical Track / ERA - Early Research Achievements at Room 4 (Xianglin Ballroom)
Chair(s): Lina Gong Nanjing University of Aeronautics and Astronautic
14:00
30m
Talk
An Empirical Study of Cross-Project Pull Request Recommendation in GitHub
Technical Track
Wenyu Xu national university of defense technology, Yao Lu National University of Defense Technology, Xunhui Zhang National University of Defense Technology, China, Tanghaoran Zhang national university of defense technology, Xinjun Mao National University of Defense Technology, Bo Lin National University of Defense Technology
14:30
30m
Talk
FRELinker: A Novel Issue-Commit Link Recovery Model Based on Feature Refinement and Expansion with Multi-Classifier Fusion
Technical Track
Bangchao Wang Wuhan Textile University, Xinyu He School of Computer Science and Artificial Intelligence, Wuhan Textile University, Hongyan Wan Wuhan Textile University, Xiaoxiao Li School of Computer Science and Artificial Intelligence, Wuhan Textile University, Jiaxu Zhu School of Computer Science and Artificial Intelligence, Wuhan Textile University, Yukun Cao School of Computer Science and Artificial Intelligence, Wuhan Textile University
15:00
20m
Talk
Towards Filtering Out Deficient Pull Requests Collected through the GitHub API
ERA - Early Research Achievements
Bowen Tang Ritsumeikan University, Xiqin Lu Ritsumeikan University, Katsuhisa Maruyama Ritsumeikan University
16:00 - 17:30
Session (5)Technical Track at Room 2 (Xiangshan Ballroom)
Chair(s): Haoye Tian University of Melbourne
16:00
30m
Talk
SwFuzz: Structure-Sensitive WebAssembly Fuzzing
Technical Track
Jiashui Wang Zhejiang University, Ziyi Guo Northwestern University, Xinlei Ying Ant Group, Peng Qian Zhejiang University, Yan Chen Northwestern University
16:30
30m
Talk
Data Conflicts-Guided Interleaved Thread Scheduling for Flaky Test Detection in Multithreaded Programs
Technical Track
Tianzi Wang College of lnformation Science and Technology, Beijing University of chemical Technology, Beijing, China, Ruilian Zhao Beijing University of Chemical Technology, Weiwei Wang College of lnformation Science and Technology, Beijing University of chemical Technology, Beijing, China, Weixi Zhang College of Information Engineering, Beijing Institute of Petrochemical Technology, Beijing, China
17:00
30m
Talk
AS-Fuzzer: An Optimized ADS Fuzzing Method via Scenario Segmentation and Parallel Evolution
Technical Track
Fansong Chen Institute of Information Engineering, Chinese Academy of Sciences, Shenghao Lin Institute of Information Engineering, Chinese Academy of Sciences, Weicheng Lin Institute of Information Engineering, Chinese Academy of Sciences, Laile Xi Institute of Information Engineering, Chinese Academy of Sciences , Yongji Liu Institute of Information Engineering, Chinese Academy of Sciences, Lun Li Institute of Information Engineering at Chinese Academy of Sciences, Hongsong Zhu Institute of Information Engineering at Chinese Academy of Sciences; University of Chinese Academy of Sciences
16:00 - 17:20
16:00
20m
Talk
Pair Programming in Programming Courses in the Era of Generative AI: Students' Perspective
EDU - Software Engineering Education
Mario Simaremare Blekinge Institute of Technology, Chandro Pardede Institut Teknologi Del, Irma Tampubolon Institut Teknologi Del, Daniel Simangunsong Institut Teknologi Del, Putri Manurung Institut Teknologi Del
16:20
20m
Talk
Story Explorer: A Gamification Approach for Teaching Students How to Write Good User Stories
EDU - Software Engineering Education
Kun Lin College of Computer Science and Technology,Inner Mongolia Normal University, Chunhui Wang , Tong Li Beijing University of Technology, Zhiguo Liu College of Computer Science and Technology,Inner Mongolia Normal University, Ye Zhai College of Computer Science and Technology,Inner Mongolia Normal University
16:40
20m
Talk
A Snapshot of Software Testing Education and Instructional Interventions
EDU - Software Engineering Education
Nasir Mehmood Minhas Mälardalen University, Ayodele Barrett Mälardalen University
17:00
20m
Talk
Unveiling Cognitive Biases in Software Testing: Insights from a Survey and Controlled Experiment
SEIP - Software Engineering in Practice
Eduard Paul Enoiu Mälardalen University, Alexandru Cusmaru Siemens Mobility GmbH, Jean Malm Malardalen University
Pre-print File Attached
16:00 - 17:30
Session (7)Technical Track / ERA - Early Research Achievements at Room 4 (Xianglin Ballroom)
Chair(s): Cuiyun Gao Harbin Institute of Technology
16:00
30m
Talk
Automatic Commit Range Identification of Untagged Version
Technical Track
Yan Zhu Zhejiang University, Lingfeng Bao Zhejiang University, Chengjie Chen Zhejiang University, Lexiao Zhang School of Software Technology, Zhejiang University, Xin Yin Zhejiang University, Chao Ni Zhejiang University
16:30
30m
Talk
Classifying Bug Issue Types for Deep Learning-oriented Projects with Pre-Trained Model
Technical Track
Zixuan Zeng School of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics, Yu Zhao , Lina Gong Nanjing University of Aeronautics and Astronautic
17:00
20m
Talk
GHA-BFP: Framework for Automated Build Failure Prediction in GitHub Actions
ERA - Early Research Achievements
Jiatai Li National University of Defense Technology, Yang Zhang National University of Defense Technology, China, Tao Wang National University of Defense Technology, Yiwen Wu National University of Defense Technology

Thu 5 Dec

Displayed time zone: Beijing, Chongqing, Hong Kong, Urumqi change

10:30 - 11:00
Coffee BreakCatering at Grand Hall Lobby
10:30
30m
Coffee break
Break
Catering

11:00 - 12:20
11:00
40m
Talk
SEIP Invited Talk - LLM for Code: Generation, Testing, and Evaluation
SEIP - Software Engineering in Practice
Xing Hu Zhejiang University
11:40
40m
Talk
SEIP Invited Talk - Artificial Intelligence Catalyzes a New Paradigm for Industrial Development
SEIP - Software Engineering in Practice
Zhifeng Li Huazhi Future
12:30 - 14:00
12:30
90m
Lunch
Lunch
Catering

14:00 - 15:30
Session (8)Technical Track at Room 1 (Zunhui Room)
Chair(s): Zhou Yang Singapore Management University
14:00
30m
Talk
DupLLM: Duplicate Pull Requests Detection Based on Large Language Model
Technical Track
Zhifang Liao Central South University, Pei Liu Monash University, Peng Lan School of Computer Science and Engineering, Central South University, Changsha, China, Ke Sun Central South University
14:30
30m
Talk
Exploring the Potential of Large Language Models in Automatic Pull Request Title Generation: An Empirical Study
Technical Track
YiTao Zuo School of Computer Science and Engineering, Central South University, Changsha, China, Peng Lan School of Computer Science and Engineering, Central South University, Changsha, China, Zhifang Liao Central South University
15:00
30m
Talk
ModelCS: A Two-Stage Framework for Model Search
Technical Track
Lingjun Zhao National University of Defense Technology, Zhouyang Jia National University of Defense Technology, Jiaying Li National University of Defense Technology, Haoran Liu National University of Defense Technology, Linxiao Bai National University of Defense Technology, Shanshan Li National University of Defense Technology
14:00 - 15:30
14:00
30m
Talk
Multi-Hierarchy Metamorphic Testing for Hyphenated Words in Machine Translation
Technical Track
Rui Zhu Nanjing University of Aeronautics and Astronautics, Chuanqi Tao Nanjing University of Aeronautics and Astronautics, Jerry Gao San Jose State University
14:30
30m
Talk
Exploring the Depths of WebAudio: Advancing Greybox Fuzzing for Enhanced Vulnerability Detection in Safari
Technical Track
Jiashui Wang Zhejiang University, Jiahui Wang Zhejiang University, Jundong Xie Ant Group, Zhenyuan Li Zhejiang University, Yan Chen Northwestern University, Peng Qian Zhejiang University
15:00
20m
Talk
A Study On C Code Defect Detection With Fine-tuned Large Language Models
ERA - Early Research Achievements
Yue Wang Beihang University, Xu Wang Beihang University, Hongwei Yu Beihang University, Fei Gao Beijing Aerospace Automatic Control Institute, Xueshi Liu Beijing Aerospace Automatic Control Institute, Xiaoling Wang
14:00 - 15:30
Session (10)Technical Track / SEIP - Software Engineering in Practice at Room 3 (Xiangquan Ballroom)
Chair(s): In-Young Ko Korea Advanced Institute of Science and Technology
14:00
30m
Talk
Why not Just Look For Answers? Using A More Direct Way for API Recommendation
Technical Track
Changxin Liu Chongqing University, Ling Xu School of Big Data & Software Engineering, Chongqing University, Wenhan Mu Chongqing University, Rui Qin Chongqing University
14:30
30m
Talk
Learning Heterogeneous Abstract Code Graph Representations For Program Comprehension
Technical Track
Shenning Song The College of Computer Science and Technology, Jilin University, Mengxi Zhang The College of Computer Science and Technology, Jilin University, Shaoquan Li The College of Computer Science and Technology, Jilin University, huaxiao liu The College of Computer Science and Technology, Jilin University
15:00
20m
Talk
CoSTV: Accelerating Code Search with Two-Stage Paradigm and Vector Retrieval
SEIP - Software Engineering in Practice
Dewu Zheng Sun yat-sen University, Yanlin Wang Sun Yat-sen University, Wenqing Chen Sun Yat-sen University, Jiachi Chen Sun Yat-sen University, Zibin Zheng Sun Yat-sen University
14:00 - 15:30
Session (11)Technical Track / ERA - Early Research Achievements at Room 4 (Xianglin Ballroom)
Chair(s): Deron Liang National Central University
14:00
30m
Talk
Enhancing the Transferability of Adversarial Attacks for End-to-End Autonomous Driving Systems
Technical Track
Jingyu Zhang City University of Hong Kong, Jacky Keung City University of Hong Kong, Xiaoxue Ma City University of Hong Kong, Yihan Liao City University of Hong Kong, Yishu Li City University of Hong Kong, Yicheng Sun City University of Hong Kong
14:30
30m
Talk
Enhancing Reentrancy Vulnerability Detection and Repair with a Hybrid Model Framework
Technical Track
Mengliang Li Zhejiang University, Xiaoxue Ren Zhejiang University, Han Fu Zhejiang University, Zhuo Li State Street Technology(Zhejiang) Ltd, JianLing Sun Zhejiang University
15:00
20m
Talk
BugsInKube: A Collection of Reconciliation Bugs
ERA - Early Research Achievements
Kabilan Mahathevan University of Moratuwa, Sivakajan Sivaparan University of Moratuwa, Tharsha Sivapalarajah University of Moratuwa, Sunimal Rathnayake University of Moratuwa, Ridwan Salihin Shariffdeen National University of Singapore
16:00 - 17:30
Session (12)Technical Track at Room 1 (Zunhui Room)
Chair(s): Tao Zhang Macau University of Science and Technology
16:00
30m
Talk
SDEFL: A Lightweight Fault Detection and Localization Method for Deep Neural Networks
Technical Track
Bo Yang Beijing Forestry University, Jiawei Hu Beijing Forestry University, Jialun Cao Hong Kong University of Science and Technology
16:30
30m
Talk
A Study of Using Multimodal LLMs for Non-Crash Functional Bug Detection in Android Apps
Technical Track
Bangyan Ju University of Cincinnati, Jin Yang University of Cincinnati, Tingting Yu University of Connecticut, Tamerlan Abdullayev University of Cincinnati, Yuanyuan Wu University of Cincinati, Dingbang Wang University of Connecticut, Yu Zhao
17:00
30m
Talk
Effective Model Replacement for Solving Objective Mismatches in Pre-trained Model Compositions
Technical Track
Arogya Kharel School of Computing, KAIST, KyeongDeok Baek School of Computing, KAIST, In-Young Ko Korea Advanced Institute of Science and Technology
16:00 - 17:30
16:00
30m
Talk
Who is in Charge here? Understanding How Runtime Configuration Affects Software along with Variables&Constants
Technical Track
Chaopeng Luo National University of Defense Technology, Yuanliang Zhang National University of Defense Technology, Haochen He National University of Defense Technology, Zhouyang Jia National University of Defense Technology, Teng Wang National University of Defense Technology, Shulin Zhou National University of Defense Technology, Si Zheng National University of Defense Technology, Shanshan Li National University of Defense Technology
16:30
20m
Talk
Toward Automation of Module Lazy Loading in Single-Page Web Applications
ERA - Early Research Achievements
Yizhi Mei Oita University, Tetsuo Kamina Oita University
16:50
20m
Talk
Designing a Reactive Programming Language for Shape-Adaptive Computers
ERA - Early Research Achievements
Yusuke Izawa Tokyo Metropolitan University, Junichiro Kadomoto The University of Tokyo, Hidetsugu Irie University of Tokyo, Shuichi Sakai University of Tokyo
17:10
20m
Talk
Actor of Things: Resilient and Efficient Distributed AIoT Applications in an Actor System
ERA - Early Research Achievements
Tianqi Ren State Key Laboratory for Novel Software Technology, Department of Computer Science and Technology, Nanjing University, Chun Cao State Key Laboratory for Novel Software Technology, Nanjing University, Jun Ma Nanjing University
16:00 - 17:30
Session (14)ERA - Early Research Achievements / Technical Track at Room 3 (Xiangquan Ballroom)
Chair(s): Jun Sun Singapore Management University
16:00
30m
Talk
Improving Code Search with Hard Negative Sampling Based on Fine-tuning
Technical Track
Hande Dong International Digital Economy Academy, Jiayi Lin International Digital Economy Academy, Yanlin Wang Sun Yat-sen University, Yichong Leng University of Science and Technology of China, Jiawei Chen Zhejiang University, Yutao Xie International Digital Economy Academy
16:30
30m
Talk
HANTracer: Leveraging Heterogeneous Graph Attention Network for Large-Scale Requirements-Code Traceability Link Recovery
Technical Track
Zhiyuan Zou , Bangchao Wang Wuhan Textile University, Hongyan Wan Wuhan Textile University, Huan Jin Wuhan Textile University, Xiaoxiao Li School of Computer Science and Artificial Intelligence, Wuhan Textile University, Yukun Cao School of Computer Science and Artificial Intelligence, Wuhan Textile University
17:00
20m
Talk
Enhancing Source Code Comment Generation via Retrieval-Augmented Generation with Design Document Term Dictionary
ERA - Early Research Achievements
Kazu Nishikawa Hitachi, Ltd. Research & Development Group., Genta Koreki Hitachi, Ltd. Research & Development Group., Hideyuki Kanuka Hitachi, Ltd.
16:00 - 17:30
Session (15)Technical Track at Room 4 (Xianglin Ballroom)
Chair(s): Xiaoxue Ren Zhejiang University
16:00
30m
Talk
On the Relative Value of Feature Selection Techniques for Code Smell Detection
Technical Track
Zexian Zhang Wuhan University of Technology, Shuang Yin Wuhan University of Technology, Lin Zhu Wuhan University of Technology, Shan Gao Hokkaido University, Haoxuan Chen Wuhan University of Technology, Wenhua Hu Wuhan University of Technology, Fuyang Li Wuhan University of Technology
16:30
30m
Talk
An Empirical Study on Self-Admitted Technical Debt in Quantum Software
Technical Track
Yuta Ishimoto Kyushu University, Yuto Nakamura Kyushu University, Ryota Katsube Hitachi, Ltd., Naoto Sato Research & Development Group, Hitachi, Ltd., Hideto Ogawa Hitachi Ltd., Masanari Kondo Kyushu University, Yasutaka Kamei Kyushu University, Naoyasu Ubayashi Kyushu University
17:00
30m
Talk
Deep Learning and Data Augmentation for Detecting Self-Admitted Technical Debt
Technical Track
Edi Sutoyo Bernoulli Institute for Mathematics, Computer Science and Artificial Intelligence, University of Groningen, Paris Avgeriou University of Groningen, The Netherlands, Andrea Capiluppi University of Groningen

Fri 6 Dec

Displayed time zone: Beijing, Chongqing, Hong Kong, Urumqi change

09:30 - 10:30
09:30
30m
Talk
Enhancing Code Generation through Retrieval of Cross-Lingual Semantic Graphs
Technical Track
Zhijie Jiang National University of Defense Technology, Zejian Shi Fudan University, Xinyu Gao , Yun Xiong Fudan University
10:00
30m
Talk
Optimizing LLMs for Code Generation: Which Hyperparameter Settings Yield the Best Results?
Technical Track
Chetan Arora Monash University, Ahnaf Ibn Sayeed Monash University, Sherlock A. Licorish University of Otago, Fanyu Wang Monash University, Christoph Treude Singapore Management University
11:00 - 12:20
Session (17)SEIP - Software Engineering in Practice / ERA - Early Research Achievements at Room 1 (Zunhui Room)
Chair(s): Meng Yan School of Big Data & Software Engineering, Chongqing University
11:00
20m
Talk
Large Language Models Empowered Online Log Anomaly Detection in AIOps
SEIP - Software Engineering in Practice
11:20
20m
Talk
Leveraging Generative AI for Accelarating Enterprise Application Development: Insights from ChatGPT
SEIP - Software Engineering in Practice
Asha Rajbhoj TCS Research, Tanay Sant Tata Consultancy Services, Akanksha Somase Tata Consultancy Services, Vinay Kulkarni Tata Consultancy Services Research
11:40
20m
Talk
Autorepairability of ChatGPT and Gemini: A Comparative Study
ERA - Early Research Achievements
Chutweeraya Sriwilailak Mahidol University, Yoshiki Higo Osaka University, Pongpop Lapvikai Mahidol University, Chaiyong Rakhitwetsagul Mahidol University, Thailand, Morakot Choetkiertikul Mahidol University, Thailand
12:00
20m
Talk
Towards Log-based Execution Status Estimation Using Graph Neural Networks
ERA - Early Research Achievements
14:00 - 15:20
14:00
20m
Talk
Tool-supported Development of ML Prototypes
ERA - Early Research Achievements
Selin Aydin RWTH Aachen University, Horst Lichter RWTH Aachen University
14:20
20m
Talk
Uncovering the DevOps Landscape: A Scoping Review and Conceptualization Framework
ERA - Early Research Achievements
Xinrui Zhang Carleton University, Jason Jaskolka Carleton University
14:40
20m
Talk
DEV-EYE: A Tool for Monitoring Bus Factor Using Commit History
ERA - Early Research Achievements
Dan Muhindo Kazimoto Mahidol University, Morakot Choetkiertikul Mahidol University, Thailand, Chaiyong Rakhitwetsagul Mahidol University, Thailand, Thanwadee Sunetnanta Mahidol University
15:00
20m
Talk
ENeRgy sustaInability COding (ENRICO): A PRACTICAL USE CASE
SEIP - Software Engineering in Practice
File Attached
14:00 - 15:30
14:00
30m
Talk
Sound Floating-Point Neural Network Verification with MILP
Technical Track
Shifu Yang College of Computer, National University of Defense Technology, Changsha, China, Liqian Chen National University of Defense Technology, Banghu Yin College of Computer, National University of Defense Technology, Changsha, China, Minghao Li College of Computer, National University of Defense Technology, Changsha, China, Yuan Zhou University of Oxford, Ji Wang National University of Defense Technology
14:30
30m
Talk
Parallel symbolic execution for smart contracts with load balancing
Technical Track
Xiaorui Nie hbuniexiaorui@163.com, Meng Wang Hebei university
15:00
20m
Talk
Designing distributed systems using SAT solvers
ERA - Early Research Achievements

Call for Papers: Software Engineering in Practice Track

The purpose of SEIP (Software Engineering in Practice) track offers a unique opportunity for practitioners from industry and academia to share their valuable experiences, insights, pragmatic research issues and the best practices in the software engineering community. As part of the APSEC 2024 conference, the SEIP Track aims to foster collaboration and mutual learning between these two vital sectors. We welcome submissions from industrial practitioners and academic researchers that align with the general topics outlined in the technical research track, as well as emerging technical topics such as AI, autonomous, safety, SoS (System of systems).

Topics of Interest

The major topics of SEIP 2024 include the following, but not limited to:

  • Verification and validation of machine learning systems
  • Software safety engineering in autonomous systems such as autonomous vehicles
  • Software safety in functional safety, STPA/STAMP and other safety disciplines
  • Software engineering on connected world including SoS
  • Generative AI and software engineering
  • Emerging methodology in software engineering
  • Difficulties, issues, and challenges from SE in practice
  • Introducing of new standards in SE
  • Best practices in traditional software engineering

Evaluation Criteria

Each submission will be meticulously reviewed by a minimum of three members of the SEIP Program Committee. The evaluation process will consider industry relevance, originality, soundness, empirical and/or practical validation, as well as the quality and coherence of the presentation. Please note that, unlike the technical research track, the SEIP track does NOT necessitate double-anonymous reviews.

Submission Guideline

Submitted papers must have been neither previously accepted for publication nor concurrently submitted for review in another journal, book, conference, or workshop.

All submissions must be in English and must come in A4 paper size PDF format and conform, at the time of submission, to the IEEE Conference Proceedings Formatting Guidelines (title in 24pt font and full text in 10pt font, LaTeX users must use \documentclass[10pt,conference]{IEEEtran} without including the compsoc or compsocconf option). Also, papers must comply with the IEEE Policy on Authorship. Submissions must be submitted electronically in PDF before the due date via EasyChair.

An SEIP paper must not exceed 10 pages for the main text, including appendices, figures, tables, and references(short papers around 5 pages are also welcomed). The Chairs reserve the right to reject submissions (without reviews) that are not in compliance or out of scope for the conference.

Important Dates

  • Submission Deadline: 9 Aug 2024 16 Aug 2024
  • Author Notification: 25 Sep 2024
  • Camera Ready Deadline: 20 Oct 2024

Submission Link

Papers must be submitted through EasyChair: https://easychair.org/conferences/?conf=apsec2024

Accepted Papers and Attendance Expectation

All accepted papers will be submitted to the CS Digital Library as the APSEC 2024 conference proceedings. If a submission is accepted, at least one author of the paper is required to register for and attend the conference to present the paper. The presentation is expected to be delivered in person, unless this is impossible due to travel restrictions (related to, e.g., health, visa, etc.). “If an accepted paper is not presented, the paper is removed from the proceedings.

Contacts

For more information, please contact the APSEC SEIP 2024 Co-Chairs: