Weaving Variability into Domain Metamodels

Brice Morin 1 Gilles Perrouin 1 Philippe Lahire 2 Olivier Barais 1 Gilles Vanwormhoudt 3, 4 Jean-Marc Jézéquel 1
1 TRISKELL - Reliable and efficient component based software engineering
IRISA - Institut de Recherche en Informatique et Systèmes Aléatoires, Inria Rennes – Bretagne Atlantique
2 Laboratoire d'Informatique, Signaux, et Systèmes de Sophia-Antipolis (I3S) / Equipe RAINBOW
SPARKS - Scalable and Pervasive softwARe and Knowledge Systems
4 COCOA - Composition de modèles pour l'ingénierie logicielle
LIFL - Laboratoire d'Informatique Fondamentale de Lille
Abstract : Domain-Specific Modeling Languages (DSMLs) describe the concepts of a particular domain and their relationships, in a meta-model. From a given DSML, it is possible to describe a wide range of different models. These models often share a common base and vary on some parts. Current approaches tend to distinguish the variability language from the DSMLs themselves, implying greater learning curve for DSMLs stakeholders and a significant overhead in product line engineering of DSLs. We propose to consider variability concepts as an independent aspect to be woven into the DSML to introduce variability capabilities. In particular we detail how variability is woven and how to perform product line derivation. We validate our approach through the weaving of variability into two very different metamodels: Ecore and SmartAdapter, our aspect-oriented modelling weaver, thus adding exibility in the weaving process itself. These results emphasize how new abilities of the language can be provided by this means.
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Communication dans un congrès
ACM/IEEE 12th International Conference on Model Driven Engineering Languages and Systems (MODELS'09), 2009, Denver, Colorado, USA, United States. 2009
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Brice Morin, Gilles Perrouin, Philippe Lahire, Olivier Barais, Gilles Vanwormhoudt, et al.. Weaving Variability into Domain Metamodels. ACM/IEEE 12th International Conference on Model Driven Engineering Languages and Systems (MODELS'09), 2009, Denver, Colorado, USA, United States. 2009. 〈inria-00468519〉

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