Documents publiés en "2024"

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Dakhel, A. M., Nikanjam, A., Khomh, F., Desmarais, M. C., & Washizaki, H. (2024). Generative AI for Software Development: A Family of Studies on Code Generation. Dans Generative AI for Effective Software Development (p. 151-172). Lien externe

Dakhel, A. M., Nikanjam, A., Khomh, F., Desmarais, M. C., & Washizaki, H. (2024). An Overview on Large Language Models. Dans Generative AI for Effective Software Development (p. 3-21). Lien externe

Dakhel, A. M., Nikanjam, A., Majdinasab, V., Khomh, F., & Desmarais, M. C. (2024). Effective test generation using pre-trained Large Language Models and mutation testing. Information and Software Technology, 171, 107468 (17 pages). Lien externe

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Layoun, J.-C., Zouaq, A., & Desmarais, M. C. (avril 2024). Contextual Embeddings and Graph Convolutional Networks for Concept Prerequisite Learning [Communication écrite]. 39th ACM/SIGAPP Symposium on Applied Computing (SAC 2024), New York, NY, USA. Lien externe

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Neishabouri, A., & Desmarais, M. C. (2024). An ensemble approach to determine the number of latent dimensions and assess its reliability. Communications in Statistics: Simulation and Computation, 2328166 (26 pages). Lien externe