Goal-Oriented Machine Learning-Based Component Development Process

Jati H. Husen, Hnin Thandar Tun, Nobukazu Yoshioka, Hironori Washizaki, Yoshiaki Fukazawa

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

Abstract

Along with the rising usage of machine learning-based (ML-based) solution, a significant amount of tools to train them has been proposed. However, there is little attention on aligning those tools with the overall goals of the development itself. We proposed a goal-oriented approach to align and rationalize the utilization of those tools with higher-level development goals. We demonstrated the proposed technique's capabilities through a case study to show the potential of our proposed method.

Original languageEnglish
Title of host publicationCompanion Proceedings - 24th International Conference on Model-Driven Engineering Languages and Systems, MODELS-C 2021
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages643-644
Number of pages2
ISBN (Electronic)9781665424844
DOIs
Publication statusPublished - 2021
Event24th International Conference on Model-Driven Engineering Languages and Systems, MODELS-C 2021 - Virtual, Online, Japan
Duration: 2021 Oct 102021 Oct 15

Publication series

NameCompanion Proceedings - 24th International Conference on Model-Driven Engineering Languages and Systems, MODELS-C 2021

Conference

Conference24th International Conference on Model-Driven Engineering Languages and Systems, MODELS-C 2021
Country/TerritoryJapan
CityVirtual, Online
Period21/10/1021/10/15

Keywords

  • goal-oriented
  • machine learning
  • software engineering

ASJC Scopus subject areas

  • Organizational Behavior and Human Resource Management
  • Hardware and Architecture
  • Software
  • Engineering (miscellaneous)
  • Safety, Risk, Reliability and Quality
  • Modelling and Simulation

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