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Documents dont l'auteur est "Washizaki, Hironori"

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Nombre de documents: 9

A

Aly, M., Khomh, F., Guéhéneuc, Y.-G., Washizaki, H., & Yacout, S. (2019). Is fragmentation a threat to the success of the Internet of things? IEEE Internet of Things Journal, 6(1), 472-487. Lien externe

R

Rahman, M. S., Khomh, F., Hamidi, A., Cheng, J., Antoniol, G., & Washizaki, H. (2023). Machine learning application development: practitioners insights. Software Quality Journal, 55 pages. Lien externe

T

Tiwari, D., Washizaki, H., Fukazawa, Y., Fukuoka, T., Tamaki, J., Hosotani, N., Kohama, M., Guéhéneuc, Y.-G., & Khomh, F. (mai 2020). Commit-defect and architectural metrics-based quality assessment of C language [Communication écrite]. 15th International Conference on Evaluation of Novel Approaches to Software Engineering (ENASE 2020). Lien externe

W

Washizaki, H., Khomh, F., Gueheneuc, Y. G., Takeuchi, H., Natori, N., Doi, T., & Okuda, S. (2022). Software-Engineering Design Patterns for Machine Learning Applications. Computer, 55(3), 30-39. Lien externe

Washizaki, H., Takeuchi, H., Khomh, F., Natori, N., Doi, T., & Okuda, S. (septembre 2020). Practitioners' insights on machine-learning software engineering design patterns: a preliminary study [Communication écrite]. IEEE International Conference on Software Maintenance and Evolution (ICSME 2020). Lien externe

Washizaki, H., Khomh, F., & Guéhéneuc, Y.-G. (septembre 2020). Software engineering patterns for machine learning applications (SEP4MLA) [Communication écrite]. 9th Asian Conference on Pattern Languages of Program in 2020 (AsianPLoP 2020), Taipei, Taiwan (10 pages). Non disponible

Washizaki, H., Khomh, F., Guéhéneuc, Y.-G., Takeuchi, H., Okuda, S., Natori, N., & Shioura, N. (octobre 2020). Software Engineering Patterns for Machine Learning Applications (SEP4MLA) - Part 2 [Communication écrite]. 27th Conference on Pattern Languages of Programs in 2020 (PLoP' 2020) (10 pages). Non disponible

Washizaki, H., Uchida, H., Khomh, F., & Guéhéneuc, Y.-G. (décembre 2019). Studying Software Engineering Patterns for Designing Machine Learning Systems [Communication écrite]. 10th International Workshop on Empirical Software Engineering in Practice (IWESEP 2019), Tokyo, Japan. Lien externe

Washizaki, H., Guéhéneuc, Y.-G., & Khomh, F. (2018). ProMeTA: A taxonomy for program metamodels in program reverse engineering. Empirical Software Engineering, 23(4), 2323-2358. Disponible

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