The proposal of model transformation support method based on model editing operation history

Naoto Wada, Yuki Noyori, Hironori Washizaki, Yoshiaki Fukazawa, Hideyuki Kanuka, Hiroki Ohbayashi

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

Abstract

Model Transformation is the tools of Model-driven development which realize the automation of model tasks (e.g. Refactoring, Modification). However, the tasks of model transformation require highly skills to create transformation rules. This makes it difficult for developers to work with models. In this paper, we propose a transformation support method to extract transformation rules based on the operation history of model editing by sequential pattern mining. Through the application of this proposal to simple case study, Model Division Pattern was generated as reusable pattern.

Original languageEnglish
Title of host publication2019 IEEE 8th Global Conference on Consumer Electronics, GCCE 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages707-709
Number of pages3
ISBN (Electronic)9781728135755
DOIs
Publication statusPublished - 2019 Oct
Event8th IEEE Global Conference on Consumer Electronics, GCCE 2019 - Osaka, Japan
Duration: 2019 Oct 152019 Oct 18

Publication series

Name2019 IEEE 8th Global Conference on Consumer Electronics, GCCE 2019

Conference

Conference8th IEEE Global Conference on Consumer Electronics, GCCE 2019
CountryJapan
CityOsaka
Period19/10/1519/10/18

Keywords

  • Model transformation
  • Sequential pattern mining

ASJC Scopus subject areas

  • Instrumentation
  • Artificial Intelligence
  • Computer Networks and Communications
  • Computer Science Applications
  • Electrical and Electronic Engineering

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