Software-Engineering Design Patterns for Machine Learning Applications.

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 patterns' adoption in practice by raising awareness of such patterns within the community.

Detalles Bibliográficos
Publicado en:Computer (00189162) Vol. 55; no. 3; pp. 30 - 40
Autores principales: Washizaki, Hironori, Khomh, Foutse, Gueheneuc, Yann-Gael, Takeuchi, Hironori, Natori, Naotake, Doi, Takuo, Okuda, Satoshi
Formato: Artículo
Publicado: IEEE Mar2022
Materias:
Acceso en línea:Ver este registro en EBSCOhost
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          Washizaki, Hironori
          Khomh, Foutse
          Gueheneuc, Yann-Gael
          Takeuchi, Hironori
          Natori, Naotake
          Doi, Takuo
          Okuda, Satoshi
        affil:
          Waseda University, NII, SYSTEM INFORMATION, and eXmotion
          Polytechnique Montréal
          Concordia University
          Musashi University
          Aisin Corporation
          Lifematics Inc.
          Japan Advanced Institute of Science and Technology
      su:
        Machine design
        Machine learning
        Software engineering
      sug:
        subj:
          Machine design
          Machine learning
          Software engineering
      keyword:
        Bibliographies
        Computer applications
      ab: 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 patterns' adoption in practice by raising awareness of such patterns within the community.
      pubtype: Academic Journal
      doctype: Article
      src: R
    language: English
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