Goal-Centralized Metamodel Based Requirements Integration for Machine Learning Systems

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

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

Abstract

Designing a software model using Unified Modeling Language (UML) does not fully integrate some essential model elements, including goals and non-functional requirements. However, it can extend model elements and relationships through the UML profile to develop model components. In this study, we propose a goal-centralized metamodel that explicitly captures functional and non-functional requirements-based goal-oriented analysis for machine learning systems in an integrated manner. This study aims to present the integration approaches to specific ML model elements that focus on modeling and analyzing goals and scenarios.

Original languageEnglish
Title of host publicationProceedings - 2021 28th Asia-Pacific Software Engineering Conference Workshops, APSECW 2021
PublisherIEEE Computer Society
Pages13-16
Number of pages4
ISBN (Electronic)9781665438131
DOIs
Publication statusPublished - 2021
Event28th Asia-Pacific Software Engineering Conference Workshops, APSECW 2021 - Virtual, Online, Taiwan, Province of China
Duration: 2021 Dec 62021 Dec 9

Publication series

NameProceedings - Asia-Pacific Software Engineering Conference, APSEC
ISSN (Print)1530-1362

Conference

Conference28th Asia-Pacific Software Engineering Conference Workshops, APSECW 2021
Country/TerritoryTaiwan, Province of China
CityVirtual, Online
Period21/12/621/12/9

Keywords

  • Consistency
  • Goal model
  • Machine learning
  • Metamodel

ASJC Scopus subject areas

  • Software

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