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Curzi-Laliberté, B., Fokaefs, M., Famelis, M., & Hamdaqa, M. (septembre 2024). EpiMDE: A-Model Driven Engineering Platform for Epidemiological Modeling [Communication écrite]. 27th International Conference on Model Driven Engineering Languages and Systems (MODELS 2024), Linz, Austria. Lien externe
Dhaouadi, M., Oakes, B., & Famelis, M. (avril 2024). Rationale Dataset and Analysis for the Commit Messages of the Linux Kernel Out-of-Memory Killer [Communication écrite]. 32nd IEEE/ACM International Conference on Program Comprehension (ICPC 2024), Lisbon, Portugal. Lien externe
Oakes, B., Famelis, M., & Sahraoui, H. (2024). Building Domain-Specific Machine Learning Workflows: A Conceptual Framework for the State-of-the-Practice. ACM Transactions on Software Engineering and Methodology, 33(4), 1-50. Disponible
