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Heterogeneous design models alignment: from matching to consistency management

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Bernard CouletteAuthors Info & Claims

SAC '18: Proceedings of the 33rd Annual ACM Symposium on Applied Computing

Pages 1695 - 1697

https://doi.org/10.1145/3167132.3167425

Published: 09 April 2018 Publication History

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Abstract

Complex systems involve several business expertises that are designed as models in different modeling languages. These partial models are manipulated by different designers, and are thus generally heterogeneous (i.e conform to different metamodels). To create a complete view of the system, we proposed a process to organize partial models as a network of models through a virtual global model. As models evolve, changing elements involved in a correspondence, may cause the inconsistency of the global model. So, we have defined a process that automatically identify changes, classify them and treat their impacts on elements of other partial models in order to maintain the global model consistency.

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Osuna ECastellanos SRosales JRodríguez L(2022)An Interoperable Framework for Computational Models of EmotionInternational Journal of Cognitive Informatics and Natural Intelligence10.4018/IJCINI.29625716:1(1-15)Online publication date: Jan-2022
https://doi.org/10.4018/IJCINI.296257

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Published In

SAC '18: Proceedings of the 33rd Annual ACM Symposium on Applied Computing

April 2018

2327 pages

ISBN:9781450351911

DOI:10.1145/3167132

Conference Chairs:
Hisham M. Haddad
Kennesaw State University
,
Roger L. Wainwright
University of Tulsa
,
Richard Chbeir
University of Pau & Pays Adour, France

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Association for Computing Machinery

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Published: 09 April 2018

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SAC 2018: Symposium on Applied Computing

April 9 - 13, 2018

Pau, France

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Osuna ECastellanos SRosales JRodríguez L(2022)An Interoperable Framework for Computational Models of EmotionInternational Journal of Cognitive Informatics and Natural Intelligence10.4018/IJCINI.29625716:1(1-15)Online publication date: Jan-2022
https://doi.org/10.4018/IJCINI.296257

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A MDE Approach for Heterogeneous Models Consistency

Bridging existing Web modeling languages to model-driven engineering: a metamodel for WebML

EMF Based Validation Methods of the Static Semantics of Models

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A MDE Approach for Heterogeneous Models Consistency

Bridging existing Web modeling languages to model-driven engineering: a metamodel for WebML

EMF Based Validation Methods of the Static Semantics of Models

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