Mahmoudi, B., Trabelsi, I., Tamzalit, D., Moha, N., & Guéhéneuc, Y.-G. (2024). BOAM: A Business Oriented Identification Approach of Microservices Within Legacy Systems. In ICSOC 2024 Workshops, Lecture Notes in Computer Science (Vol. 15405), Springer, pp. 123–137. https://doi.org/10.1007/978-981-96-0808-9_10
Trabelsi, I., Mahmoudi, B., Minani, J. B., Moha, N., & Guéhéneuc, Y.-G. (2025). A Systematic Literature Review of Machine Learning Approaches for Migrating Monolithic Systems to Microservices. IEEE Transactions on Software Engineering, 51(11), 2972–2995. https://doi.org/10.1109/TSE.2025.3603897
Mahmoudi, B., Chenail-Larcher, Z., Moha, N., Stiévenart, Q., & Avellaneda, F. (2026). Specification and Detection of LLM Code Smells. In Proceedings of the 2026 IEEE/ACM International Conference on Software Engineering, New Ideas and Emerging Results (ICSE NIER 2026). https://doi.org/10.1145/3786582.3786835
Mahmoudi, B., Chenail-Larcher, Z., Cherief, H. A., Stiévenart, Q., Moha, N., & Avellaneda, F. (2026). GLiSE: A Prompt-Driven and ML-Powered Tool for Automated Grey Literature Extraction in Software Engineering. In Proceedings of the 23rd International Conference on Mining Software Repositories (MSR 2026). https://doi.org/10.1145/3793302.3793304
Mahmoudi, B., Moha, N., Stiévenart, Q., & Avellaneda, F. (2025). AI-Specific Code Smells: From Specification to Detection. arXiv preprint. https://arxiv.org/abs/2509.20491