<  Back to the Polytechnique Montréal portal

Items where Author is "Washizaki, Hironori"

Up a level
Export as [feed] Atom [feed] RSS 1.0 [feed] RSS 2.0
Jump to: A | R | T | W
Number of items: 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. External link

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. External link

T

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

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. External link

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

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

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

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

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. Available

List generated on: Fri May 24 17:46:34 2024 EDT