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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.

International audienceModel-Driven Engineering (MDE) exploits well-defined, tool-supported modelling languages and operations applied to models created using these languages. Model transformation is a critical part of the use of MDE. It has been argued that transformations must be engineered systematically, particularly when the languages to which they are applied are large and complicated – e.g., UML 2.x and profiles such as MARTE – and when the transformation logic itself is complex. We present an approach to designing large model transformations for large languages, based on the principle of separation of concerns. Specifically, we define a notion of localized transformations that are restricted to apply to a subset of a modelling language; a composition of localized transformations is then used to satisfy particular MDE objectives, such as the design of very large transformations. We illustrate the use of localized transformations in a concrete example applied to large transformations for system-on-chip co-design