Documents publiés en "2025"

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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

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Jamshidi, S., Nikanjam, A., Wazed Nafi, K., & Khomh, F. (juillet 2025). A Dynamic Security Pattern Selection Framework Using Deep Reinforcement Learning [Communication écrite]. International Conference on Software Services Engineering (SSE 2025), Helsinki, Finland. Lien externe

Jamshidi, S., Nikanjam, A., Wazed Nafi, K., & Khomh, F. (août 2025). Deep Reinforcement Learning-Based Intrusion Detection System: Defending Edge Gateways Against Mirai and Gafgyt [Communication écrite]. 12th International Conference on Future Internet of Things and Cloud (FiCloud 2025), Istanbul, Turkiye. Lien externe

Jamshidi, S., Wazed Nafi, K., Nikanjam, A., & Khomh, F. (2025). Evaluating machine learning-driven intrusion detection systems in IoT: Performance and energy consumption. Computers & Industrial Engineering, 204, 111103 (17 pages). Lien externe

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Majdinasab, V., Nikanjam, A., & Khomh, F. (2025). DeepCodeProbe: Evaluating Code Representation Quality in Models Trained on Code. Empirical Software Engineering, 30(6), 169 (53 pages). Lien externe

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Tambon, F., Nikanjam, A., Zid, C., Khomh, F., & Antoniol, G. (2025). TaskEval: Assessing Difficulty of Code Generation Tasks for Large Language Models. ACM Transactions on Software Engineering and Methodology. Lien externe