Laura Plein. 2024. Learning the Effects of Software Changes. In Proceedings of the 33rd ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA 2024). Association for Computing Machinery, New York, NY, USA, 1886–1890. https://doi.org/10.1145/3650212.3685550
Ouédraogo, W. C., Plein, L., Kaboré, K., Habib, A., Klein, J., Lo, D., & Bissyande, T. F. (2024, April). Extracting Relevant Test Inputs from Bug Reports for Automatic Test Case Generation. In Proceedings of the 2024 IEEE/ACM 46th International Conference on Software Engineering: Companion Proceedings (pp. 406-407).
Plein, L., Ouédraogo, W. C., Klein, J., & Bissyandé, T. F. (2024, April). Automatic generation of test cases based on bug reports: a feasibility study with large language models. In Proceedings of the 2024 IEEE/ACM 46th International Conference on Software Engineering: Companion Proceedings (pp. 360-361)..
Beckerich, M., Plein, L., & Coronado, S. (2023). Ratgpt: Turning online llms into proxies for malware attacks. arXiv preprint arXiv:2308.09183..
Plein, L., & Bissyandé, T. F. (2023). Can llms demystify bug reports?. arXiv preprint arXiv:2310.06310.
Keller, P., Kaboré, A. K., Plein, L., Klein, J., Le Traon, Y., & Bissyande, T. F. (2021). What you see is what it means! semantic representation learning of code based on visualization and transfer learning. ACM Transactions on Software Engineering and Methodology (TOSEM), 31(2), 1-34.
Talk at Toronto Data Workshop, Canada (online)
Talk at Microsoft Bluehat 2023, Redmond, Washington, USA
Paper Presentation at 1st HITLAML workshop, Luxembourg