Preliminary literature review of machine learning system development practices

Yasuhiro Watanabe, Hironori Washizaki*, Kazunori Sakamoto, Daisuke Saito, Kiyoshi Honda, Naohiko Tsuda, Yoshiaki Fukazawa, Nobukazu Yoshioka

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

To guide practitioners and researchers to design and research Machine Learning (ML) system development processes, we conduct a preliminary literature review on ML system development practices. We identified seven papers and two other papers determined in an ad-hoc review. Our findings include emphasized phases in ML system developments, frequently described ML-specific practices, and tailored traditional practices.

Original languageEnglish
Title of host publicationProceedings - 2021 IEEE 45th Annual Computers, Software, and Applications Conference, COMPSAC 2021
EditorsW. K. Chan, Bill Claycomb, Hiroki Takakura, Ji-Jiang Yang, Yuuichi Teranishi, Dave Towey, Sergio Segura, Hossain Shahriar, Sorel Reisman, Sheikh Iqbal Ahamed
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1407-1408
Number of pages2
ISBN (Electronic)9781665424639
DOIs
Publication statusPublished - 2021 Jul
Event45th IEEE Annual Computers, Software, and Applications Conference, COMPSAC 2021 - Virtual, Online, Spain
Duration: 2021 Jul 122021 Jul 16

Publication series

NameProceedings - 2021 IEEE 45th Annual Computers, Software, and Applications Conference, COMPSAC 2021

Conference

Conference45th IEEE Annual Computers, Software, and Applications Conference, COMPSAC 2021
Country/TerritorySpain
CityVirtual, Online
Period21/7/1221/7/16

Keywords

  • Software engineering for machine learning

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Science Applications
  • Software

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