Documents publiés en "2026"

Barbosa, N., Borba, P., & Da Silva, L. (2026). Assessing the effectiveness of Large Language Models in detecting semantic conflicts. Journal of Software Engineering Research and Development, 14(1), 25 pages. Disponible

Chen Kuang Piao, Y., Paul, J. C., Da Silva, L., Moradi Dakhel, A., Hamdaqa, M., & Khomh, F. (2026). Refactoring with LLMs: Bridging human expertise and machine understanding. Empirical Software Engineering, 32(1), 11 (51 pages). Lien externe

de Araújo Barbosa, N. F., Borba, P., & Da Silva, L. (2026). Supplementary data for: Assessing the effectiveness of large language models in detecting semantic conflicts [Ensemble de données]. Lien externe

Foalem, P. L., Da Silva, L., Khomh, F., & Merlo, E. (2026). An empirical study of Policy-as-Code adoption in open-source software projects. Journal of Systems and Software, 242, 113028 (14 pages). Lien externe

Foundjem, A. T., Nganyewou Tidjon, L., Da Silva, L., & Khomh, F. (2026). Multi-Agent AI Framework for Threat Mitigation and Resilience in Machine Learning Systems. ACM Transactions on Software Engineering and Methodology. Lien externe

Olewicki, D., Da Silva, L., Ben Sghaier, O., Mujahid, S., Amini, A., Mah, B., Castelluccio, M., Habchi, S., Khomh, F., & Adams, B. (2026). Impact of an LLM-based Review Assistant in Practice: A Mixed Open-/Closed-source Case Study. IEEE Transactions on Software Engineering, 12 pages. Lien externe