| 2025 | ISSTA | A Preliminary Study of Large Language Models for Multilingual Vulnerability Detection. | Junji Yu, Honglin Shu, Michael Fu, Dong Wang, Chakkrit Tantithamthavorn, Yasutaka Kamei, Junjie Chen |
| 2025 | MSR | Human-In-The-Loop Software Development Agents: Challenges and Future Directions. | Jirat Pasuksmit, Wannita Takerngsaksiri, Patanamon Thongtanunam, Chakkrit Tantithamthavorn, Ruixiong Zhang, Shiyan Wang, Fan Jiang, Jing Li, Evan Cook, Kun Chen, Ming Wu |
| 2025 | RE | From Domain Documents to Requirements: Retrieval-Augmented Generation in the Space Industry. | Chetan Arora, Fanyu Wang, Chakkrit Tantithamthavorn, Aldeida Aleti, Shaun Kenyon |
| 2025 | SANER | Protect Your Secrets: Understanding and Measuring Data Exposure in VSCode Extensions. | Yue Liu, Chakkrit Tantithamthavorn, Li Li |
| 2024 | COMPSAC | Students' Perspectives on AI Code Completion: Benefits and Challenges. | Wannita Takerngsaksiri, Cleshan Warusavitarne, Christian Yaacoub, Matthew Hee Keng Hou, Chakkrit Tantithamthavorn |
| 2024 | ICSE | Extrapolating Coverage Rate in Greybox Fuzzing. | Danushka Liyanage, Seongmin Lee, Chakkrit Tantithamthavorn, Marcel Bhme |
| 2024 | ISSRE | Code Ownership: The Principles, Differences, and Their Associations with Software Quality. | Patanamon Thongtanunam, Chakkrit Tantithamthavorn |
| 2023 | APSEC | Unit Testing Challenges with Automated Marking. | Chakkrit Tantithamthavorn, Norman Chen |
| 2023 | ICSE | Reachable Coverage: Estimating Saturation in Fuzzing. | Danushka Liyanage, Marcel Bhme, Chakkrit Tantithamthavorn, Stephan Lipp |
| 2023 | ICSE | What Would You do? An Ethical AI Quiz. | Wei Teo, Ze Teoh, Dayang Abang Arabi, Morad Aboushadi, Khairenn Lai, Zhe Ng, Aastha Pant, Rashina Hoda, Chakkrit Tantithamthavorn, Burak Turhan |
| 2023 | SCAM | Explaining Transformer-based Code Models: What Do They Learn? When They Do Not Work? | Ahmad Haji Mohammadkhani, Chakkrit Tantithamthavorn, Hadi Hemmati |
| 2022 | ICSE | AutoTransform: Automated Code Transformation to Support Modern Code Review Process. | Patanamon Thongtanunam, Chanathip Pornprasit, Chakkrit Tantithamthavorn |
| 2022 | ISSRE | Explainable AI for Android Malware Detection: Towards Understanding Why the Models Perform So Well? | Yue Liu, Chakkrit Tantithamthavorn, Li Li, Yepang Liu |
| 2022 | MSR | LineVul: A Transformer-based Line-Level Vulnerability Prediction. | Michael Fu, Chakkrit Tantithamthavorn |
| 2021 | ICSE | Assessing the Students' Understanding and their Mistakes in Code Review Checklists: An Experience Report of 1, 791 Code Review Checklist Questions from 394 Students. | Chun Yong Chong, Patanamon Thongtanunam, Chakkrit Tantithamthavorn |
| 2021 | MSR | Practitioners' Perceptions of the Goals and Visual Explanations of Defect Prediction Models. | Jirayus Jiarpakdee, Chakkrit Tantithamthavorn, John C. Grundy |
| 2021 | MSR | JITLine: A Simpler, Better, Faster, Finer-grained Just-In-Time Defect Prediction. | Chanathip Pornprasit, Chakkrit Tantithamthavorn |
| 2019 | ICSE | Mining software defects: should we consider affected releases? | Suraj Yatish, Jirayus Jiarpakdee, Patanamon Thongtanunam, Chakkrit Tantithamthavorn |
| 2018 | ICSE | Studying the dialogue between users and developers of free apps in the google play store. | Safwat Hassan, Chakkrit Tantithamthavorn, Cor-Paul Bezemer, Ahmed E. Hassan |
| 2018 | ICSE | An experience report on defect modelling in practice: pitfalls and challenges. | Chakkrit Tantithamthavorn, Ahmed E. Hassan |
| 2016 | ICSE | Automated parameter optimization of classification techniques for defect prediction models. | Chakkrit Tantithamthavorn, Shane McIntosh, Ahmed E. Hassan, Kenichi Matsumoto |
| 2016 | ICSE | Towards a better understanding of the impact of experimental components on defect prediction modelling. | Chakkrit Tantithamthavorn |
| 2016 | ISSRE | A Study of Redundant Metrics in Defect Prediction Datasets. | Jirayus Jiarpakdee, Chakkrit Tantithamthavorn, Akinori Ihara, Kenichi Matsumoto |
| 2015 | ICSE | The Impact of Mislabelling on the Performance and Interpretation of Defect Prediction Models. | Chakkrit Tantithamthavorn, Shane McIntosh, Ahmed E. Hassan, Akinori Ihara, Ken-ichi Matsumoto |
| 2013 | ISSRE | Mining A change history to quickly identify bug locations : A case study of the Eclipse project. | Chakkrit Tantithamthavorn, Rattamont Teekavanich, Akinori Ihara, Ken-ichi Matsumoto |
| 2013 | SNPD | Using Co-change Histories to Improve Bug Localization Performance. | Chakkrit Tantithamthavorn, Akinori Ihara, Ken-ichi Matsumoto |