Model Matching for Model Transformation - A Meta-heuristic Approach

Hajer Saada 1 Marianne Huchard 1 Clémentine Nebut 1 Houari Sahraoui 2
1 MAREL - Models And Reuse Engineering, Languages
LIRMM - Laboratoire d'Informatique de Robotique et de Microélectronique de Montpellier
2 GEODES - Laboratoire de génie logiciel: Software Engineering Group [Montréal]
Abstract : Model Transformation By Example (MTBE) is a recent approach that derives model transformation rules from a source model, a target model, and matching between models. Building a match between models may be a complex task especially when models have been created or edited manually. In this paper, we propose an automated approach to generate mapping between source and target models. The novetly of our approach consists in the production of many-to-many mapping between the elements of the two models.
Keywords : Model Driven Engineering Meta-heuristic Multi-Objective Optimization NSGA-II Model matching Model transformation
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Conference papers
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https://hal-lirmm.ccsd.cnrs.fr/lirmm-00967632
Contributor : Marianne Huchard <>
Submitted on : Sunday, October 21, 2018 - 5:58:31 PM
Last modification on : Wednesday, April 17, 2019 - 12:15:36 PM
Document(s) archivé(s) le : Tuesday, January 22, 2019 - 12:46:10 PM

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Hajer Saada, Marianne Huchard, Clémentine Nebut, Houari Sahraoui. Model Matching for Model Transformation - A Meta-heuristic Approach. MODELSWARD: Model-Driven Engineering and Software Development, Jan 2014, Lisbon, Portugal. pp.174-181, ⟨10.5220/0004695601740181⟩. ⟨lirmm-00967632⟩

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