CV

Education

• Ph.D in Version Control Theory, GitHub University, 2018 (expected)
• M.S. in Jekyll, GitHub University, 2014
• B.S. in GitHub, GitHub University, 2012

Work experience

• Spring 2024: Academic Pages Collaborator
  • Github University
  • Duties includes: Updates and improvements to template
  • Supervisor: The Users
• Fall 2015: Research Assistant
  • Github University
  • Duties included: Merging pull requests
  • Supervisor: Professor Hub
• Summer 2015: Research Assistant
  • Github University
  • Duties included: Tagging issues
  • Supervisor: Professor Git

Skills

• Skill 1
• Skill 2
  • Sub-skill 2.1
  • Sub-skill 2.2
  • Sub-skill 2.3
• Skill 3

Publications

Predicting Software Changes from Desired Behavior Changes

Laura Plein. 2025. Predicting Software Changes from Desired Behavior Changes. In 33rd ACM International Conference on the Foundations of Software Engineering (FSE Companion ’25), June 23–28, 2025, Trondheim, Norway. ACM, New York, NY, USA, 3 pages. https://doi.org/10.1145/3696630.3728617

Enriching automatic test case generation by extracting relevant test inputs from bug reports

Ouédraogo, W.C., Plein, L., Kaboré, K. et al. Enriching automatic test case generation by extracting relevant test inputs from bug reports. Empir Software Eng 30, 85 (2025). https://doi.org/10.1007/s10664-025-10635-z

Learning the Effects of Software Changes

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

Extracting Relevant Test Inputs from Bug Reports for Automatic Test Case Generation

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).

Automatic generation of test cases based on bug reports: a feasibility study with large language models

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)..

Ratgpt: Turning online llms into proxies for malware attacks

Beckerich, M., Plein, L., & Coronado, S. (2023). Ratgpt: Turning online llms into proxies for malware attacks. arXiv preprint arXiv:2308.09183..

Can llms demystify bug reports?

Plein, L., & Bissyandé, T. F. (2023). Can llms demystify bug reports?. arXiv preprint arXiv:2310.06310.

What you see is what it means! semantic representation learning of code based on visualization and transfer learning

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.

Talks

Can LLMs demystify Bug Reports and translate them into Test Cases?

April 21, 2024

Talk at Toronto Data Workshop, Canada (online)

RatGPT: Turning Online LLMs into Proxies for Malware Attacks

October 12, 2023

Talk at Microsoft Bluehat 2023, Redmond, Washington, USA

Can llms demystify bug reports?

September 05, 2023

Paper Presentation at 1st HITLAML workshop, Luxembourg

Teaching

Database Security

IT Founders Lab

Big Data

Luxembourg Tech School

Service and leadership

• Currently signed in to 43 different slack teams