| 2024 | GitHubInclusifier: Finding and fixing non-inclusive language in GitHub Repositories. | Liam Todd, John Grundy, Christoph Treude |
| 2024 | With Great Humor Comes Great Developer Engagement. | Deepika Tiwari, Tim Toady, Martin Monperrus, Benoit Baudry |
| 2024 | DocFlow: Extracting Taint Specifications from Software Documentation. | Marcos Tileria, Jorge Blasco, Santanu Kumar Dash |
| 2024 | Object Graph Programming. | Aditya Thimmaiah, Leonidas Lampropoulos, Christopher J. Rossbach, Milos Gligoric |
| 2024 | Learning and Repair of Deep Reinforcement Learning Policies from Fuzz-Testing Data. | Martin Tappler, Andrea Pferscher, Bernhard K. Aichernig, Bettina Knighofer |
| 2024 | Beyond Functional Correctness: An Exploratory Study on the Time Efficiency of Programming Assignments. | Yida Tao, Wenyan Chen, Qingyang Ye, Yao Zhao |
| 2024 | ChatGPT Incorrectness Detection in Software Reviews. | Minaoar Hossain Tanzil, Junaed Younus Khan, Gias Uddin |
| 2024 | Learning to Represent Patches. | Xunzhu Tang, Haoye Tian, Zhenghan Chen, Weiguo Pian, Saad Ezzini, Abdoul Kader Kabor, Andrew Habib, Jacques Klein, Tegawend F. Bissyand |
| 2024 | CodeGRITS: A Research Toolkit for Developer Behavior and Eye Tracking in IDE. | Ningzhi Tang, Junwen An, Meng Chen, Aakash Bansal, Yu Huang, Collin McMillan, Toby Jia-Jun Li |
| 2024 | ACAV: A Framework for Automatic Causality Analysis in Autonomous Vehicle Accident Recordings. | Huijia Sun, Christopher M. Poskitt, Yang Sun, Jun Sun, Yuqi Chen |
| 2024 | Code Impact Beyond Disciplinary Boundaries: Constructing a Multidisciplinary Dependency Graph and Analyzing Cross-Boundary Impact. | Gengyi Sun, Mehran Meidani, Sarra Habchi, Mathieu Nayrolles, Shane McIntosh |
| 2024 | Where is it? Tracing the Vulnerability-relevant Files from Vulnerability Reports. | Jiamou Sun, Jieshan Chen, Zhenchang Xing, Qinghua Lu, Xiwei Xu, Liming Zhu |
| 2024 | Sustaining Scientific Open-Source Software Ecosystems: Challenges, Practices, and Opportunities. | Jiayi Sun |
| 2024 | When Neural Code Completion Models Size up the Situation: Attaining Cheaper and Faster Completion through Dynamic Model Inference. | Zhensu Sun, Xiaoning Du, Fu Song, Shangwen Wang, Li Li |
| 2024 | Concrete Constraint Guided Symbolic Execution. | Yue Sun, Guowei Yang, Shichao Lv, Zhi Li, Limin Sun |
| 2024 | Enhancing Exploratory Testing by Large Language Model and Knowledge Graph. | Yanqi Su, Dianshu Liao, Zhenchang Xing, Qing Huang, Mulong Xie, Qinghua Lu, Xiwei Xu |
| 2024 | Modular Monolith: Is This the Trend in Software Architecture? | Ruoyu Su, Xiaozhou Li |
| 2024 | Gamifying a Software Testing Course with Continuous Integration. | Philipp Straubinger, Gordon Fraser |
| 2024 | Improving Testing Behavior by Gamifying IntelliJ. | Philipp Straubinger, Gordon Fraser |
| 2024 | Scalable Relational Analysis via Relational Bound Propagation. | Clay Stevens, Hamid Bagheri |
| 2024 | Dataflow Analysis-Inspired Deep Learning for Efficient Vulnerability Detection. | Benjamin Steenhoek, Hongyang Gao, Wei Le |
| 2024 | BOMs Away! Inside the Minds of Stakeholders: A Comprehensive Study of Bills of Materials for Software Systems. | Trevor Stalnaker, Nathan Wintersgill, Oscar Chaparro, Massimiliano Di Penta, Daniel M. Germn, Denys Poshyvanyk |
| 2024 | Intelligent Monitoring Framework for Cloud Services: A Data-Driven Approach. | Pooja Srinivas, Fiza Husain, Anjaly Parayil, Ayush Choure, Chetan Bansal, Saravan Rajmohan |
| 2024 | Discovering Explainability Requirements in ML-Based Software. | Tor Sporsem |
| 2024 | Architecture-Based Cross-Component Issue Management and Propagation Analysis. | Sandro Speth |