Documents publiés en "2026"

A

Aghili, R., Qin, Q., Wu, X., Li, H., & Khomh, F. (2026). SDLog: A Deep Learning Framework for Detecting Sensitive Information in Software Logs. ACM Transactions on Software Engineering and Methodology. Lien externe

B

Ben Braiek, Y., Ben Braiek, H., & Khomh, F. (mai 2026). XPJudge: Explanation-Aware Pairwise Judging for Cost-Effective Code LLM Selection [Communication écrite]. International Conference on Software Testing, Verification and Validation (ICST 2026), Daejeon, South Korea. Lien externe

C

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

F

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

Foalem, P. L., Nguimbous, A., Khomh, F., Li, H., & Merlo, E. (2026). An empirical study on logging evolution on stack overflow: trends, topics, and challenges. Empirical Software Engineering, 31(6), 168 (44 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

H

Humeniuk, D., Hamdaqa, M., Ben Braiek, H., Bennaceur, A., & Khomh, F. (mai 2026). Dynasto: Validity-Aware Dynamic–Static Parameter Optimization for Autonomous Driving Testing [Communication écrite]. International Conference on Software Testing, Verification and Validation (ICST 2026), Daejeon, South Korea. Lien externe

J

Jamshidi, S., Abdul Wahab, O., Herrero, R., Khomh, F., Bellaïche, M., Keivanpour, S., Shahabi, N., Nikanjam, A., & Wazed Nafi, K. (2026). Think Fast: Real-Time IoT Intrusion Reasoning Using IDS and LLMs at the Edge Gateway. IEEE Internet of Things Journal, 30 pages. Lien externe

Jamshidi, S., Khomh, F., Fung, C., Abdul Wahab, O., & Herrero, R. (2026). Securing Time Integrity in Energy IoT Against Clock Drift and Y2K38 Failures. IEEE Internet of Things Journal. Lien externe

Jamshidi, S., Nafi, K. W., Khomh, F., & Nikanjam, A. (2026). Green Intrusion Detection Systems for IoT. Lien externe

M

Mahu, A.-M., Pequignot, Y., Marois, A., Ouellette, B., Khomh, F., & Doyon-Poulin, P. (juillet 2026). Measuring Pilot Vigilance Decline During a Monotonous Mission inaFlight Simulator [Communication écrite]. 8th International Conference on HCI in Mobility, Transport, and Automotive Systems (MobiTAS 2026), Montréal, QC, Canada. Publié dans Lecture notes in computer science. Lien externe

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Njoku, A. O., Sharafi, Z., & Khomh, F. (juillet 2026). When Code Authors Are Agents: A Large-Scale Study of Human–Agent Collaboration in Pull Requests [Communication écrite]. 3rd ACM International Conference on AI-Powered Software (AIware 2026), Montréal, QC, Canada. Lien externe

O

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

R

Roy, S., Roy, B., Roy, C. K., & Khomh, F. (2026). A Qualitative Study on XAI Techniques for Software Defect Prediction. Information and Software Technology, 198, 108234 (21 pages). Lien externe

S

Saborido, R., Raes, R., Morales, R., Rouvoy, R., Khomh, F., & Guéhéneuc, Y.-G. (2026). Simply the best – A systematic evaluation approach for third-party libraries based on mobile app quality attributes. Empirical Software Engineering, 31(5), 25 pages. Lien externe

Shahedi, K., Gyambrah, N., Li, H., Lamothe, M., & Khomh, F. (2026). An empirical study on method-level performance evolution in open-source Java projects. Empirical Software Engineering, 32(1), 16. Lien externe

T

Taraghi, M., Pequignot, Y., Nikanjam, A., Amine Merzouk, M., & Khomh, F. (2026). Efficiency at What Cost? Safety and Fairness in Parameter-Efficient Fine-Tuning of LLMs. IEEE Transactions on Artificial Intelligence, 15 pages. Lien externe

V

Voria, G., Openja, M., Khomh, F., Catolino, G., & Palomba, F. (avril 2026). Tracing Stereotypes in Pre-trained Transformers: From Biased Neurons to Fairer Models [Communication écrite]. 23rd International Conference on Mining Software Repositories, Rio de Janeiro, Brazil. Lien externe

Z

Zid, C., Di Penta, M., Khomh, F., & Antoniol, G. (2026). The relationship between different python argument-passing mechanisms and fixes: An empirical study. Empirical Software Engineering, 32(1), 26 (38 pages). Lien externe