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Abbassi, A. A., Da Silva, L., Nikanjam, A., & Khomh, F. (septembre 2025). A Taxonomy of Inefficiencies in LLM-Generated Python Code [Communication écrite]. International Conference on Software Maintenance and Evolution (ICSME 2025), Auckland, New Zealand. Lien externe
Da Silva, L., S. A. M. H. I, J., & Khomh, F. (2025). LLMs and Stack Overflow discussions: reliability, impact, and challenges [Ensemble de données]. Lien externe
Da Silva, L., Samhi, J., & Khomh, F. (2025). LLMs and Stack Overflow discussions: reliability, impact, and challenges. Journal of Systems and Software, 230, 112541 (21 pages). Disponible
de Araújo Barbosa, N. F., Borba, P., & Da Silva, L. (septembre 2025). Detecção de conflitos semânticos com testes gerados por LLM [Communication écrite]. X Simpósio Brasileiro de Testes de Software Sistemático e Automatizado (SAST 2025), Recife, Brésil. Lien externe
Foalem, P. L., Da Silva, L., Khomh, F., Li, H., & Merlo, E. (2025). Logging requirement for continuous auditing of responsible machine learning-based applications. Empirical Software Engineering, 30(3), 97 (37 pages). Lien externe
Nouwou Mindom, P. S., Da Silva, L., Nikanjam, A., & Khomh, F. (2025). Continuously Learning Bug Locations. ACM Transactions on Software Engineering and Methodology. Lien externe
Verdet, A., Hamdaqa, M., Da Silva, L., & Khomh, F. (2025). Assessing the adoption of security policies by developers in terraform across different cloud providers. Empirical Software Engineering, 30(3). Disponible
Verdet, A., Hamdaqa, M., Da Silva, L., & Khomh, F. (2025). Erratum: Assessing the adoption of security policies by developers in terraform across different cloud providers. Empirical Software Engineering, 30(6), 74 (1 page). Lien externe
