| 2024 | 31st Asia-Pacific Software Engineering Conference, APSEC 2024, Chongqing, China, December 3-6, 2024 |
| 2024 | A DNN Fuzz Testing Method Based on Gradient-Weighted Class Activation Map. Zhouning Chen, Qiaoyun Liu, Shengxin Dai, Qiuhui Yang |
| 2024 | A Snapshot of Software Testing Education and Instructional Interventions. Nasir Mehmood Minhas, Ayodele A. Barrett |
| 2024 | A Study of Using Multimodal LLMs for Non-Crash Functional Bug Detection in Android Apps. Bangyan Ju, Jin Yang, Tingting Yu, Tamerlan Abdullayev, Yuanyuan Wu, Dingbang Wang, Yu Zhao |
| 2024 | A Study on C Code Defect Detection with Fine-Tuned Large Language Models. Yue Wang, Xu Wang, Hongwei Yu, Fei Gao, Xueshi Liu, Xiaoling Wang |
| 2024 | A Two-Stage Approach for GitHub Issue Links Identification and Classification. Yingying He, Wenhua Yang |
| 2024 | AFLGo_D: A Novel Power Schedule Scheme Considering Multiple Factors Dynamically for Directed Fuzzing. Jiaxin Wang, Zhitao He |
| 2024 | AS-Fuzzer: An Optimized ADS Fuzzing Method via Scenario Segmentation and Parallel Evolution. Fansong Chen, Shenghao Lin, Weicheng Lin, Laile Xi, Yongji Liu, Lun Li, Hongsong Zhu |
| 2024 | Actor of Things: Resilient and Efficient Distributed AIoT Applications in an Actor System. Tianqi Ren, Chun Cao, Jun Ma |
| 2024 | Adversarial Classification Rumor Detection based on Social Communication Networks and Time Series Features. Xinyu Zhang, Zixin Chang, Li Li, Wei Zhou, Junhao Wen |
| 2024 | An Empirical Study of Cross-Project Pull Request Recommendation in GitHub. Wenyu Xu, Yao Lu, Xunhui Zhang, Tanghaoran Zhang, Bo Lin, Xinjun Mao |
| 2024 | An Empirical Study on Self-Admitted Technical Debt in Quantum Software. Yuta Ishimoto, Yuto Nakamura, Ryota Katsube, Naoto Sato, Hideto Ogawa, Masanari Kondo, Yasutaka Kamei, Naoyasu Ubayashi |
| 2024 | Analyzing and Detecting Toxicities in Developer Online Chatrooms: A Fine-Grained Taxonomy and Automated Detection Approach. Junyi Tian, Lingfeng Bao, Shengyi Pan, Xing Hu |
| 2024 | Arising Challenges for Assuring Maritime Software Reliability in the AI Era. Shuai Wang, Knut Erik Knutsen |
| 2024 | Automatic Commit Range Identification of Untagged Version. Yan Zhu, Lingfeng Bao, Chengjie Chen, Lexiao Zhang, Xin Yin, Chao Ni |
| 2024 | Autorepairability of ChatGPT and Gemini: A Comparative Study. Chutweeraya Sriwilailak, Yoshiki Higo, Pongpop Lapvikai, Chaiyong Ragkhitwetsagul, Morakot Choetkiertikul |
| 2024 | BugsInKube: A Collection of Reconciliation Bugs. Kabilan Mahathevan, Sivakajan Sivaparan, Tharsha Sivapalarajah, Sunimal Rathnayake, Ridwan Shariffdeen |
| 2024 | CDHF: Coordination Driven Hybrid Fuzzing for EOSIO Smart Contracts. Yongxu Han, Meng Wang |
| 2024 | CEGen: Cause-Effect Graph Generation Using Large Language Models. Hiroyuki Kirinuki |
| 2024 | Classifying Bug Issue Types for Deep Learning-Oriented Projects with Pre-Trained Model. Zixuan Zeng, Yu Zhao, Lina Gong |
| 2024 | CoSTV: Accelerating Code Search with Two-Stage Paradigm and Vector Retrieval. Dewu Zheng, Yanlin Wang, Wenqing Chen, Jiachi Chen, Zibin Zheng |
| 2024 | DEV-EYE: A Tool for Monitoring Bus Factor Using Commit History. Dan Muhindo Kazimoto, Morakot Choetkiertikul, Chaiyong Ragkhitwetsagul, Thanwadee Sunetnanta |
| 2024 | Data Conflicts-Guided Interleaved Thread Scheduling for Flaky Test Detection in Multithreaded Programs. Tianzi Wang, Ruilian Zhao, Weiwei Wang, Weixi Zhang |
| 2024 | Deep Learning and Data Augmentation for Detecting Self-Admitted Technical Debt. Edi Sutoyo, Paris Avgeriou, Andrea Capiluppi |
| 2024 | Designing Distributed Systems Using SAT Solvers. Puneet Bhateja |
| 2024 | Designing a Reactive Programming Language for Shape-Adaptive Computers. Yusuke Izawa, Junichiro Kadomoto, Hidetsugu Irie, Shuichi Sakai |
| 2024 | Difference Syntax Trees for Characterising Student in Programming Course. Kouta Aoki, Hidetake Uwano |
| 2024 | DupLLM:Duplicate Pull Requests Detection Based on Large Language Model. Zhifang Liao, Pei Liu, Peng Lan, Ke Sun |
| 2024 | ENeRgy SustaInability COding, a Practical Use Case. Benoit Lange |
| 2024 | Effective Model Replacement for Solving Objective Mismatches in Pre-trained Model Compositions. Arogya Kharel, KyeongDeok Baek, In-Young Ko |
| 2024 | Effective Vulnerability Detection over Code Token Graph: A GCN with Score Gate Based Approach. Nong Zou, Nan Li, Junxiang Zhang, Xiaomeng Wang, Lai Hong, Tao Jia |
| 2024 | Efficient Floating-Point Error Detection for Numerical Programs via Error-Free Transformations. Wei Yao, Jingke Zhang, Xin Yi |
| 2024 | Enhancing Code Generation Through Retrieval of Cross-Lingual Semantic Graphs. Zhijie Jiang, Zejian Shi, Xinyu Gao, Yun Xiong |
| 2024 | Enhancing Reentrancy Vulnerability Detection and Repair with a Hybrid Model Framework. Mengliang Li, Xiaoxue Ren, Han Fu, Zhuo Li, Jianling Sun |
| 2024 | Enhancing Source Code Comment Generation via Retrieval-Augmented Generation with Design Document Term Dictionary. Kazu Nishikawa, Genta Koreki, Hideyuki Kanuka |
| 2024 | Enhancing the Transferability of Adversarial Attacks for End-to-End Autonomous Driving Systems. Jingyu Zhang, Jacky Keung, Xiaoxue Ma, Yihan Liao, Yishu Li, Yicheng Sun |
| 2024 | Exploring Depths of WebAudio: Advancing Greybox Fuzzing for Vulnerability Detection in Safari. Jiashui Wang, Jiahui Wang, Jundong Xie, Zhenyuan Li, Yan Chen, Peng Qian |
| 2024 | Exploring the Potential of Large Language Models in Automatic Pull Request Title Generation: An Empirical Study. Yitao Zuo, Peng Lan, Zhifang Liao |
| 2024 | FRELinker: A Novel Issue-Commit Link Recovery Model Based on Feature Refinement and Expansion with Multi-Classifier Fusion. Bangchao Wang, Xinyu He, Hongyan Wan, Xiaoxiao Li, Jiaxu Zhu, Yukun Cao |
| 2024 | GHA-BFP: Framework for Automated Build Failure Prediction in GitHub Actions. Jiatai Li, Yang Zhang, Tao Wang, Yiwen Wu |
| 2024 | HANTracer: Leveraging Heterogeneous Graph Attention Network for Large-Scale Requirements-Code Traceability Link Recovery. Zhiyuan Zou, Bangchao Wang, Hongyan Wan, Huan Jin, Xiaoxiao Li, Yukun Cao |
| 2024 | Improving Code Search with Hard Negative Sampling Based on Fine-tuning. Hande Dong, Jiayi Lin, Yanlin Wang, Yichong Leng, Jiawei Chen, Yutao Xie |
| 2024 | Integrating Feedback From Application Reviews Into Software Development. Omar Abdelaziz, Zadia Codabux, Kevin Schneider |
| 2024 | Large Language Models Empowered Online Log Anomaly Detection in AIOps. Suqiong Zhang, Dongyi Fan, Lili He |
| 2024 | Learning Heterogeneous Abstract Code Graph Representations for Program Comprehension. Shenning Song, Mengxi Zhang, Shaoquan Li, Huaxiao Liu |
| 2024 | Leveraging Generative AI for Accelerating Enterprise Application Development: Insights from ChatGPT. Asha Rajbhoj, Tanay Sant, Akanksha Somase, Vinay Kulkarni |
| 2024 | MRTCNN: A Lightweight Approach for Predicting Metamorphic Relations. Bo Yang, Xu Wang, Huai Liu |
| 2024 | ModelCS: A Two-Stage Framework for Model Search. Lingjun Zhao, Zhouyang Jia, Jiaying Li, Haoran Liu, Linxiao Bai, Shanshan Li |
| 2024 | Multi-Hierarchy Metamorphic Testing for Hyphenated Words in Machine Translation. Rui Zhu, Chuanqi Tao, Jerry Gao |
| 2024 | On the Relative Value of Feature Selection Techniques for Code Smell Detection. Zexian Zhang, Lin Zhu, Shuang Yin, Shan Gao, Haoxuan Chen, Wenhua Hu, Fuyang Li |
| 2024 | Optimizing LLMs for Code Generation: Which Hyperparameter Settings Yield the Best Results? Chetan Arora, Ahnaf Ibn Sayeed, Sherlock A. Licorish, Fanyu Wang, Christoph Treude |
| 2024 | Pair Programming in Programming Courses in the Era of Generative AI: Students' Perspective. Mario Simaremare, Chandro Pardede, Irma Tampubolon, Putri Manurung, Daniel Simangunsong |
| 2024 | Parallel Symbolic Execution for Smart Contracts with Load Balancing. Xiaorui Nie, Meng Wang |
| 2024 | Prioritizing Test Cases Through Dual-Uncertainty Evaluating for Road Disease Detection System. Chenxu Niu, Huijun Liu, Ao Li, Tianhao Xiao, Zhimin Ruan, Ling Xu, Yongxin Ge |
| 2024 | Putting APIs in the Right Order with Gated Graph Neural Networks. Ling Wan, Ping Yu, Yuan Yao |
| 2024 | S$w$Fuzz: Structure-Sensitive WebAssembly Fuzzing. Jiashui Wang, Ziyi Guo, Xinlei Ying, Peng Qian, Yan Chen |
| 2024 | SDEFL: A Lightweight Fault Detection and Localization Method for Deep Neural Networks. Bo Yang, Jiawei Hu, Jialun Cao |
| 2024 | Smells of Misunderstanding in File Path Patterns within Dockerignore. Tomoki Nakamaru |
| 2024 | Sound Floating-Point Neural Network Verification with MILP. Shifu Yang, Liqian Chen, Banghu Yin, Minghao Li, Yuan Zhou, Ji Wang |
| 2024 | Story Explorer: A Gamification Approach for Teaching Students How to Write Good User Stories. Kun Lin, Zhiguo Liu, Chunhui Wang, Tong Li, Ye Zhai |
| 2024 | Tool-supported Development of ML Prototypes. Selin Aydin, Horst Lichter |
| 2024 | Towards Automation of Module Lazy Loading in Single-Page Web Applications. Yizhi Mei, Tetsuo Kamina |
| 2024 | Towards Filtering Out Deficient Pull Requests Collected Through the GitHub API. Bowen Tang, Xiqin Lu, Katsuhisa Maruyama |
| 2024 | Towards Log-based Execution Status Estimation Using Graph Neural Networks. Shimon Sumita, Hiroyuki Nakagawa, Shinobu Saito, Tatsuhiro Tsuchiya |
| 2024 | Uncovering the DevOps Landscape: A Scoping Review and Conceptualization Framework. Xinrui Zhang, Jason Jaskolka |
| 2024 | Unraveling the Potential of Large Language Models in Code Translation: How Far are We? Qingxiao Tao, Tingrui Yu, Xiaodong Gu, Beijun Shen |
| 2024 | Unveiling Cognitive Biases in Software Testing: Insights from a Survey and Controlled Experiment. Eduard Paul Enoiu, Alexandru Cusmaru, Jean Malm |
| 2024 | Who is in Charge here? Understanding How Runtime Configuration Affects Software Along with Variables&Constants. Chaopeng Luo, Yuanliang Zhang, Haochen He, Zhouyang Jia, Teng Wang, Shulin Zhou, Si Zheng, Shanshan Li |
| 2024 | Why not Just Look for Answers? Using a More Direct Way for API Recommendation. Changxin Liu, Ling Xu, Wenhan Mu, Rui Qin |