 | Up a level |
Collaboration networkThis graph maps the connections between all the collaborators of {}'s publications listed on this page.
Each link represents a collaboration on the same publication. The thickness of the link represents the number of collaborations.
Use the mouse wheel or scroll gestures to zoom into the graph.
You can click on the nodes and links to highlight them and move the nodes by dragging them.
Hold down the "Ctrl" key or the "⌘" key while clicking on the nodes to open the list of this person's publications.
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
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. In Generative AI for Effective Software Development (pp. 151-172). External link
Dakhel, A. M., Nikanjam, A., Khomh, F., Desmarais, M. C., & Washizaki, H. (2024). An Overview on Large Language Models. In Generative AI for Effective Software Development (pp. 3-21). External link
Pan, W., Washizaki, H., Yoshioka, N., Fukazawa, Y., Khomh, F., & Guéhéneuc, Y.-G. (2023, December). A Machine Learning Based Approach to Detect Machine Learning Design Patterns [Paper]. 30th Asia-Pacific Software Engineering Conference (APSEC 2023), Seoul, Korea, Republic of Seoul. External link
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
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
Wu, X., Li, H., Yoshioka, N., Washizaki, H., & Khomh, F. (2024, March). Refining GPT-3 Embeddings with a Siamese Structure for Technical Post Duplicate Detection [Paper]. 31st IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER 2024), Rovaniemi, Finland. External link
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
