Documents publiés en "2025"

Article de revue

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

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

Communication écrite

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

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

Autre

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

Ensemble de données

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