| 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 | 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 | Uncovering the DevOps Landscape: A Scoping Review and Conceptualization Framework. | Xinrui Zhang, Jason Jaskolka |
| 2024 | Large Language Models Empowered Online Log Anomaly Detection in AIOps. | Suqiong Zhang, Dongyi Fan, Lili He |
| 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 | Classifying Bug Issue Types for Deep Learning-Oriented Projects with Pre-Trained Model. | Zixuan Zeng, Yu Zhao, Lina Gong |
| 2024 | Efficient Floating-Point Error Detection for Numerical Programs via Error-Free Transformations. | Wei Yao, Jingke Zhang, Xin Yi |
| 2024 | MRTCNN: A Lightweight Approach for Predicting Metamorphic Relations. | Bo Yang, Xu Wang, Huai Liu |
| 2024 | SDEFL: A Lightweight Fault Detection and Localization Method for Deep Neural Networks. | Bo Yang, Jiawei Hu, Jialun Cao |
| 2024 | Sound Floating-Point Neural Network Verification with MILP. | Shifu Yang, Liqian Chen, Banghu Yin, Minghao Li, Yuan Zhou, Ji Wang |
| 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 | Putting APIs in the Right Order with Gated Graph Neural Networks. | Ling Wan, Ping Yu, Yuan Yao |
| 2024 | Data Conflicts-Guided Interleaved Thread Scheduling for Flaky Test Detection in Multithreaded Programs. | Tianzi Wang, Ruilian Zhao, Weiwei Wang, Weixi Zhang |
| 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 | 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 | Arising Challenges for Assuring Maritime Software Reliability in the AI Era. | Shuai Wang, Knut Erik Knutsen |
| 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 | AFLGo_D: A Novel Power Schedule Scheme Considering Multiple Factors Dynamically for Directed Fuzzing. | Jiaxin Wang, Zhitao He |
| 2024 | S$w$Fuzz: Structure-Sensitive WebAssembly Fuzzing. | Jiashui Wang, Ziyi Guo, Xinlei Ying, Peng Qian, Yan Chen |
| 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 | Unraveling the Potential of Large Language Models in Code Translation: How Far are We? | Qingxiao Tao, Tingrui Yu, Xiaodong Gu, Beijun Shen |
| 2024 | Towards Filtering Out Deficient Pull Requests Collected Through the GitHub API. | Bowen Tang, Xiqin Lu, Katsuhisa Maruyama |
| 2024 | Deep Learning and Data Augmentation for Detecting Self-Admitted Technical Debt. | Edi Sutoyo, Paris Avgeriou, Andrea Capiluppi |
| 2024 | A Novel Approach to Automated Test Script Generation using Large Language Models for Domain-Specific Languages. | Jianing Sun, Jiahui Wang, Yuyan Zhu, Xingyu Li, Ying Xie, Jiaxin Chen |
| 2024 | Towards Log-based Execution Status Estimation Using Graph Neural Networks. | Shimon Sumita, Hiroyuki Nakagawa, Shinobu Saito, Tatsuhiro Tsuchiya |