APSEC 2024
Tue 3 - Fri 6 December 2024 China

The APSEC 2024 technical research track invites high-quality contributions describing original results in the discipline of software engineering. Solicited topics include, but are not limited to:

  • Tools and processes
    • Agile processes
    • DevOps and Container
    • Configuration Management and Deployment
    • Software Engineering Process and Standards
  • Requirements and Design
    • Service-oriented Computing
    • Component-based Software Engineering
    • Cooperative, Distributed, and Global Software Engineering
    • Software Architecture, Modeling and Design
    • Middleware, Frameworks, and APIs
    • Software Product-line Engineering
  • Testing and Analysis
    • Testing, Verification, and Validation
    • Program Analysis
    • Program Synthesis
    • Program Repairs
  • Formal Aspects of Software Engineering
    • Formal Methods
    • Model-driven and Domain-specific Engineering
  • Human Factors and Social Aspects of Software Engineering
    • Software Comprehension, Visualization, and Traceability
    • Software for Green and Sustainable Technologies
  • AI and Software Engineering
    • Search-based Software Engineering
    • AI for SE, SE for AI
  • Dependability, Safety, and Reliability
  • Software Maintenance and Evolution
    • Refactoring
    • Reverse Engineering
    • Software Reuse
    • Software Project Management
    • Debugging, Defect Prediction and Fault Localization
  • Software Repository Mining and Data Analytics

APSEC2024 welcomes submissions addressing topics in a variety of application domains, including mobile, cloud, blockchains, embedded and cyber-physical systems.

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

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
15:30 - 16:00
Coffee BreakCatering at Grand Hall Lobby
15:30
30m
Coffee break
Break
Catering

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
18:00 - 19:30
Welcome ReceptionCatering at Quanyi Room
18:00
90m
Dinner
Dinner
Catering

Thu 5 Dec

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

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
15:30 - 16:00
Coffee BreakCatering at Grand Hall Lobby
15:30
30m
Coffee break
Break
Catering

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
18:30 - 20:00
18:30
90m
Dinner
Dinner
Catering

Fri 6 Dec

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

09:30 - 10:30
Session (16)Technical Track at Room 1 (Zunhui Room)
Chair(s): Haoye Tian University of Melbourne
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
10:30 - 11:00
Coffee BreakCatering at Grand Hall Lobby
10:30
30m
Coffee break
Break
Catering

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
12:30 - 14:00
12:30
90m
Lunch
Lunch
Catering

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
15:30 - 16:00
Coffee BreakCatering at Grand Hall Lobby
15:30
30m
Coffee break
Break
Catering

Hide past events

Accepted Papers

Title
A DNN Fuzz Testing Method Based on Gradient-weighted Class Activation Map
Technical Track
Adversarial Classification Rumor Detection based on Social Communication Networks and Time Series Features
Technical Track
AFLGo_D: A Novel Power Schedule Scheme Considering Multiple Factors Dynamically for Directed Fuzzing (Poster)
Technical Track
Analyzing and Detecting Toxicities in Developer Online Chatrooms: A Fine-Grained Taxonomy and Automated Detection Approach
Technical Track
An Empirical Study of Cross-Project Pull Request Recommendation in GitHub
Technical Track
An Empirical Study on Self-Admitted Technical Debt in Quantum Software
Technical Track
AS-Fuzzer: An Optimized ADS Fuzzing Method via Scenario Segmentation and Parallel Evolution
Technical Track
A Study of Using Multimodal LLMs for Non-Crash Functional Bug Detection in Android Apps
Technical Track
Automatic Commit Range Identification of Untagged Version
Technical Track
CDHF: Coordination Driven Hybrid Fuzzing for EOSIO Smart Contracts
Technical Track
CEGen: Cause-Effect Graph Generation Using Large Language Models (Poster)
Technical Track
Classifying Bug Issue Types for Deep Learning-oriented Projects with Pre-Trained Model
Technical Track
Data Conflicts-Guided Interleaved Thread Scheduling for Flaky Test Detection in Multithreaded Programs
Technical Track
Deep Learning and Data Augmentation for Detecting Self-Admitted Technical Debt
Technical Track
DupLLM: Duplicate Pull Requests Detection Based on Large Language Model
Technical Track
Effective Model Replacement for Solving Objective Mismatches in Pre-trained Model Compositions
Technical Track
Effective Vulnerability Detection over Code Token Graph: A GCN with Score Gate Based Approach
Technical Track
Enhancing Code Generation through Retrieval of Cross-Lingual Semantic Graphs
Technical Track
Enhancing Reentrancy Vulnerability Detection and Repair with a Hybrid Model Framework
Technical Track
Enhancing the Transferability of Adversarial Attacks for End-to-End Autonomous Driving Systems
Technical Track
Exploring the Depths of WebAudio: Advancing Greybox Fuzzing for Enhanced Vulnerability Detection in Safari
Technical Track
Exploring the Potential of Large Language Models in Automatic Pull Request Title Generation: An Empirical Study
Technical Track
FRELinker: A Novel Issue-Commit Link Recovery Model Based on Feature Refinement and Expansion with Multi-Classifier Fusion
Technical Track
HANTracer: Leveraging Heterogeneous Graph Attention Network for Large-Scale Requirements-Code Traceability Link Recovery
Technical Track
Improving Code Search with Hard Negative Sampling Based on Fine-tuning
Technical Track
Integrating Feedback From Application Reviews Into Software Development for Improved User Satisfaction
Technical Track
Learning Heterogeneous Abstract Code Graph Representations For Program Comprehension
Technical Track
ModelCS: A Two-Stage Framework for Model Search
Technical Track
MRTCNN: A Lightweight Approach for Predicting Metamorphic Relations (Poster)
Technical Track
Multi-Hierarchy Metamorphic Testing for Hyphenated Words in Machine Translation
Technical Track
On the Relative Value of Feature Selection Techniques for Code Smell Detection
Technical Track
Optimizing LLMs for Code Generation: Which Hyperparameter Settings Yield the Best Results?
Technical Track
Parallel symbolic execution for smart contracts with load balancing
Technical Track
Prioritizing Test Cases through Dual-uncertainty Evaluating for Road Disease Detection System
Technical Track
Putting APIs in the Right Order with Gated Graph Neural Networks
Technical Track
SDEFL: A Lightweight Fault Detection and Localization Method for Deep Neural Networks
Technical Track
Sound Floating-Point Neural Network Verification with MILP
Technical Track
SwFuzz: Structure-Sensitive WebAssembly Fuzzing
Technical Track
Unraveling the Potential of Large Language Models in Code Translation: How Far Are We?
Technical Track
Who is in Charge here? Understanding How Runtime Configuration Affects Software along with Variables&Constants
Technical Track
Why not Just Look For Answers? Using A More Direct Way for API Recommendation
Technical Track

Call for Papers: Technical Track

APSEC 2024 - AT A GLANCE:

It has been 31 years since the establishment of the Asia-Pacific Software Engineering Conference (APSEC) as a leading regional conference that gathers researchers and practitioners from academia, industry, and government to exchange knowledge and best practices in software engineering, and to address emerging challenges and solutions in software engineering innovation. This year’s APSEC will be held on December 3-6, 2024 in Chongqing, China. APSEC 2024 will continue in the tradition of previous editions of this regional conference. As in past APSEC series, the main research track features the most recent and significant innovations in the field of software engineering and all its sub-disciplines.

The APSEC 2024 technical research track invites high-quality contributions describing original results in the discipline of software engineering. Solicited topics include, but are not limited to:

  • Tools and processes
    • Agile processes
    • DevOps and Container
    • Configuration Management and Deployment
    • Software Engineering Process and Standards
  • Requirements and Design
    • Service-oriented Computing
    • Component-based Software Engineering
    • Cooperative, Distributed, and Global Software Engineering
    • Software Architecture, Modeling and Design
    • Middleware, Frameworks, and APIs
    • Software Product-line Engineering
  • Testing and Analysis
    • Testing, Verification, and Validation
    • Program Analysis
    • Program Synthesis
    • Program Repairs
  • Formal Aspects of Software Engineering
    • Formal Methods
    • Model-driven and Domain-specific Engineering
  • Human Factors and Social Aspects of Software Engineering
    • Software Comprehension, Visualization, and Traceability
    • Software for Green and Sustainable Technologies
  • AI and Software Engineering
    • Search-based Software Engineering
    • AI for SE, SE for AI
  • Dependability, Safety, and Reliability
  • Software Maintenance and Evolution
    • Refactoring
    • Reverse Engineering
    • Software Reuse
    • Software Project Management
    • Debugging, Defect Prediction and Fault Localization
  • Software Repository Mining and Data Analytics

APSEC2024 welcomes submissions addressing topics in a variety of application domains, including mobile, cloud, blockchains, embedded and cyber-physical systems.

Evaluation Criteria

Technical research papers must not be more than 10 pages (including references). Submissions will be evaluated by at least three program committee members. The evaluation will focus on the novelty, originality, importance to the field, proper use of research methods, and presentation of the submissions.

Submission Instructions

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.

The Chairs reserve the right to reject submissions (without reviews) that are not in compliance or out of scope for the conference.

IMPORTANT: The APSEC 2024 technical research track will use a double-blind reviewing process, which means that submissions must not reveal the authors’ identities. The authors must make every effort to honor the double-blind reviewing process. Please read carefully the APSEC 2024 double-blind instructions before preparing your paper.

Submission Link

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

Important Dates

  • Abstract Deadline: July 6, 2024 July 13, 2024
    July 6, 2024 July 6, 2024
  • Paper Deadline: July 13, 2024 July 20, 2024
    July 13, 2024 July 13, 2024
  • Author Notification: Sep 13, 2024
    Sep 13, 2024 Sep 13, 2024
  • Camera Ready Deadline: Oct 20, 2024
    Oct 20, 2024 Oct 20, 2024

Accepted Papers and Attendance Expectation

All accepted papers will be included in the IEEE-CS Digital Library as the APSEC 2024 conference proceedings. Accepted papers will not be permitted any additional page of content. But, we hope that the authors will reflect the reviewers' comments as much as possible in the camera-ready version. After acceptance, the list of paper authors can not be changed under any circumstances, and the list of authors on camera-ready papers must be identical to those on submitted papers. After acceptance, paper titles can not be changed except by permission of the Program Co-Chairs, and only then when referees recommend a change for clarity or accuracy with paper content. If a submission is accepted, at least one author of the paper must register for APSEC 2024 and present the paper at the conference. If an accepted paper is not presented, the paper will be removed from the proceedings.

Contact

Jun Sun and Meng Yan
APSEC 2024 Program Co-Chairs

IMPORTANT: The APSEC 2024 technical research track will use a double-blind reviewing process, which means that submissions must not reveal the authors’ identities. The authors must make every effort to honor the double-blind reviewing process. Submissions must adhere to the following rules (largely reused from APSEC 2023 double-blind instructions).

  • Omit authors’ names and institutions from your title page.
  • References to authors’ own related work must be in the third person. (For example, not “We build on our previous work…” but rather “We build on the work of…”)
  • There may be cases in which the current submission is a clear follow up of one of your previous work, and despite what recommended in the previous point, reviewers will clearly associate authorship of such a previous work to the current submission. In this case, you may decide to anonymize the reference itself at submission time. For example: “based on previous results [10]” .. where the reference is reported as “[10] Anonymous Authors. Omitted for double blind reviewing.” In doing so, however, please make sure that the APSEC 2024 submission is self-contained and its content can be reviewed and understood without accessing the previous paper.
  • Do not include acknowledgements of people, grants, organizations, etc. that would give away your identity. You may, of course, add these acknowledgements in the camera-ready version.
  • In general, aim to reduce the risk of accidental unblinding. For example, if you use an identifiable naming convention for your work, such as a project name, use a different name for your submission, which you may indicate has been changed for the purposes of double-blind reviewing. This includes names that may unblind individual authors and their institutions. For example, if your project is called GoogleDeveloperHelper, which makes it clear the work was done at Google, for the submission version, use the name DeveloperHelper or BigCompanyDeveloperHelper instead.
  • Avoid revealing the institution affiliations of authors or at which the work was performed. For example, if the evaluation includes a user study conducted with undergraduates from the CS 101 class that you teach, you might say “The study participants consist of 200 students in an introductory CS course.” You can of course add the institutional information in the camera-ready. Similar suggestions apply for work conducted in specific organizations (e.g., industrial studies). In such cases, avoid mentioning the organization’s name. Instead, you may just refer to the organization as “Org” or “Company”, etc. When appropriate and when this does not help too much in revealing the company’s name, you might mention the context (e.g., financial organization, video game development company, etc.).
  • APSEC 2024 believes in open science and that open science aids reproducibility and replicability. To improve these factors we encourage authors to consider disclosing the source code and datasets used within their paper, including extractors, survey data, etc. By sharing this information your contribution will be more impactful because others can follow up on your work and of course cite it. But please avoid linking directly to code repositories or tool deployments which can reveal your identity. Instead of doing so, please consider using Zenodo, Figshare, or other services that provide DOIs and allowing anonymous and semi-anonymous methods of archiving software and datasets. Archive.org is recommended for the dissemination of larger datasets. These datasets, anonymized through Zenodo and other services, should be linked within the paper itself. Instructions for double-blind friendly uploading of datasets is available here: https://ineed.coffee/post/how-to-disclose-data-for-double-blind-review-and-make-it-archived-open-data-upon-acceptance.html