Practitioners' insights on machine-learning software engineering design patterns: a preliminary study

Hironori Washizaki, Hironori Takeuchi, Foutse Khomh, Naotake Natori, Takuo Doi and Satoshi Okuda

Paper (2020)

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Department:	Department of Computer Engineering and Software Engineering
PolyPublie URL:	https://publications.polymtl.ca/46678/
Conference Title:	IEEE International Conference on Software Maintenance and Evolution (ICSME 2020)
Conference Date(s):	2020-09-28 - 2020-10-02
Publisher:	IEEE
DOI:	10.1109/icsme46990.2020.00095
Official URL:	https://doi.org/10.1109/icsme46990.2020.00095
Date Deposited:	18 Apr 2023 15:01
Last Modified:	25 Sep 2024 16:35

Cite in APA 7:	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). https://doi.org/10.1109/icsme46990.2020.00095
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