Software-Engineering Design Patterns for Machine Learning Applications

Hironori Washizaki; Foutse Khomh; Yann Gael Gueheneuc; Hironori Takeuchi; Naotake Natori; Takuo Doi; Satoshi Okuda

doi:10.1109/MC.2021.3137227

Software-Engineering Design Patterns for Machine Learning Applications

Hironori Washizaki, Foutse Khomh, Yann Gael Gueheneuc, Hironori Takeuchi, Naotake Natori, Takuo Doi, Satoshi Okuda

School of Fundamental Science and Engineering

Research output: Contribution to specialist publication › Article

9 Citations (Scopus)

Abstract

In this study, a multivocal literature review identified 15 software-engineering design patterns for machine learning applications. Findings suggest that there are opportunities to increase the patternsâÂ€Â™ adoption in practice by raising awareness of such patterns within the community.

Original language	English
Pages	30-39
Number of pages	10
Volume	55
No.	3
Specialist publication	Computer
DOIs	https://doi.org/10.1109/MC.2021.3137227
Publication status	Published - 2022 Mar 1

ASJC Scopus subject areas

Computer Science(all)

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10.1109/MC.2021.3137227

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AU - Doi, Takuo

AU - Okuda, Satoshi

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Software-Engineering Design Patterns for Machine Learning Applications

Abstract

ASJC Scopus subject areas

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