Research Interests
Empirical Software Engineering, AI Reliability and Evaluation, Testing AI-Based Systems, Agentic Software Engineering.
Dr. El Mezouar studies the reliability of AI in software engineering using empirical methods. Her current research examines how AI systems evaluate code, how contextual information influences their judgments, and how AI-based software can be tested effectively. Her emerging research explores how collaboration, verification, and organizational structures influence reliability in workflows involving multiple AI agents.
Short Biography
Dr. El Mezouar joined the Department of Mathematics and Computer Science at RMC in 2022 and currently serves as the Computer Science Program Coordinator. She earned her PhD in Computing from Queen's University in 2019 as a member of the Software Evolution and Analytics Lab, following an M.Sc. in Software Engineering at Al Akhawayn University in Morocco.
Selected Publications
- Gonzalez, K., & El Mezouar, M. (2026). When Bots Get the Boot: Understanding Pull Request Rejections in the Era of AI Coders. 23rd International Conference on Mining Software Repositories (MSR), Mining Challenge.
- Gonzalez, K., & El Mezouar, M. (2026). Testing AIware Systems: A Software Engineering Survey. ACM International Conference on AI-Powered Software (AIware). Honorable Mention Paper Award.
- Gonzalez, K., & El Mezouar, M. (2025). Different by Design: Understanding Human-AI Collaboration Through GitHub Pull Requests. IEEE International Conference on Collaborative Advances in Software and Computing (CASCON). Poster paper.
- Aselstyne, A., & El Mezouar, M. (2025). Revisiting Thread Disentanglement in Technical Chat with Fine-Tuned LLMs and Graph-Based Clustering. IEEE International Conference on Collaborative Advances in Software and Computing (CASCON). Short paper.
- Le Breton, L., Fournier, Q., Morris, J. X., El Mezouar, M., & Chandar, S. (2025). NeoBERT: A Next Generation BERT. Transactions on Machine Learning Research.
- Tholl, K., El Mezouar, M., & Al Mallah, R. (2025). A Comparative Evaluation of Teacher-Guided Reinforcement Learning Techniques for Autonomous Cyber Operations. Annual Congress on Artificial Intelligence of Things (AIoT).
- El Mezouar, M., da Costa, D. A., German, D. M., & Zou, Y. (2022). Exploring the Use of Chatrooms by Developers: An Empirical Study on Slack and Gitter. IEEE Transactions on Software Engineering, 48(10), 3988–4001.