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Tambon, F., Laberge, G., An, L., Nikanjam, A., Mindom, P. S. N., Pequignot, Y., Khomh, F., Antoniol, G., Merlo, E., & Laviolette, F. (2022). How to certify machine learning based safety-critical systems? A systematic literature review. Automated Software Engineering, 29(2). Lien externe
Marhaba, M., Merlo, E., Khomh, F., & Antoniol, G. (mai 2022). Identification of out-of-distribution cases of CNN using class-based surprise adequacy [Communication écrite]. IEEE/ACM 1st International Conference on AI Engineering - Software Engineering for AI (CAIN 2022), Pittsburgh, PA, USA. Lien externe
Merlo, E., Margier, M., Jourdan, G.-V., & Onut, I.-V. (mars 2022). Phishing kits source code similarity distribution: A case study [Communication écrite]. IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER 2022), Honolulu, HI, USA. Lien externe
Merlo, E., Pinciroli, C., Panerati, J., Famelis, M., & Beltrame, G. (mai 2022). Automated extraction and checking of property models from source code for robot swarms [Communication écrite]. 4th IEEE/ACM International Workshop on Robotics Software Engineering (RoSE 2022), Pittsburgh, PA, USA. Lien externe
