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Conference papers

Combining Independent Model Transformations

Anne Etien 1 Alexis Muller 2, 1 Thomas Legrand 3 Xavier Blanc 4 
1 DART - Contributions of the Data parallelism to real time
LIFL - Laboratoire d'Informatique Fondamentale de Lille, Inria Lille - Nord Europe
4 MoVe - Modélisation et Vérification
LIP6 - Laboratoire d'Informatique de Paris 6
Abstract : Model transformation is one of the key principles of Model Driven Engineering. Many approaches have been proposed to design and realize them. However, for all the approaches, model transformations are considered as single entities that can only be chained if their input and output metamodels are compatible. This approach has the major drawback to focus on the satisfaction of the compliance property when building a transformation chain. In this paper we propose a mechanism for combining independent model transformations which jointly work towards a common objective but do not initially handle compatible metamodels. Our proposal is independent of any model transformation approach. It has been validated using Gaspard, an environment dedicated to code generation for embedded systems.
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Submitted on : Friday, September 10, 2010 - 6:35:03 PM
Last modification on : Friday, February 4, 2022 - 3:25:28 AM



Anne Etien, Alexis Muller, Thomas Legrand, Xavier Blanc. Combining Independent Model Transformations. ACM Symposium On Applied Computing (SAC), Mar 2010, Sierre, Switzerland. pp.2237-2243, ⟨10.1145/1774088.1774557⟩. ⟨inria-00516708⟩



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