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

doi:10.1109/GCCE46687.2019.9015299

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

School of Fundamental Science and Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference 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 language	English
Title of host publication	2019 IEEE 8th Global Conference on Consumer Electronics, GCCE 2019
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	707-709
Number of pages	3
ISBN (Electronic)	9781728135755
DOIs	https://doi.org/10.1109/GCCE46687.2019.9015299
Publication status	Published - 2019 Oct
Event	8th IEEE Global Conference on Consumer Electronics, GCCE 2019 - Osaka, Japan Duration: 2019 Oct 15 → 2019 Oct 18

Publication series

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

Conference

Conference	8th IEEE Global Conference on Consumer Electronics, GCCE 2019
Country/Territory	Japan
City	Osaka
Period	19/10/15 → 19/10/18

Keywords

Model transformation
Sequential pattern mining

ASJC Scopus subject areas

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

Access to Document

10.1109/GCCE46687.2019.9015299

Cite this

Wada, N., Noyori, Y., Washizaki, H., Fukazawa, Y., Kanuka, H., & Ohbayashi, H. (2019). The proposal of model transformation support method based on model editing operation history. In 2019 IEEE 8th Global Conference on Consumer Electronics, GCCE 2019 (pp. 707-709). [9015299] (2019 IEEE 8th Global Conference on Consumer Electronics, GCCE 2019). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/GCCE46687.2019.9015299

The proposal of model transformation support method based on model editing operation history. / Wada, Naoto; Noyori, Yuki; Washizaki, Hironori et al.
2019 IEEE 8th Global Conference on Consumer Electronics, GCCE 2019. Institute of Electrical and Electronics Engineers Inc., 2019. p. 707-709 9015299 (2019 IEEE 8th Global Conference on Consumer Electronics, GCCE 2019).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Wada, N, Noyori, Y, Washizaki, H , Fukazawa, Y, Kanuka, H & Ohbayashi, H 2019, The proposal of model transformation support method based on model editing operation history. in 2019 IEEE 8th Global Conference on Consumer Electronics, GCCE 2019., 9015299, 2019 IEEE 8th Global Conference on Consumer Electronics, GCCE 2019, Institute of Electrical and Electronics Engineers Inc., pp. 707-709, 8th IEEE Global Conference on Consumer Electronics, GCCE 2019, Osaka, Japan, 19/10/15. https://doi.org/10.1109/GCCE46687.2019.9015299

Wada N, Noyori Y, Washizaki H , Fukazawa Y, Kanuka H, Ohbayashi H. The proposal of model transformation support method based on model editing operation history. In 2019 IEEE 8th Global Conference on Consumer Electronics, GCCE 2019. Institute of Electrical and Electronics Engineers Inc. 2019. p. 707-709. 9015299. (2019 IEEE 8th Global Conference on Consumer Electronics, GCCE 2019). doi: 10.1109/GCCE46687.2019.9015299

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

Abstract

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Conference

Keywords

ASJC Scopus subject areas

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