Feature-based survey of model transformation approaches
Krzysztof Czarnecki, Simon Helsen
Abstract
Krzysztof Czarnecki, Simon Helsen
Abstract
Model transformations are touted to play a key role in Model Driven Development™. Although well-established standards for creating metamodels such as the Meta-Object Facility exist, there is currently no mature foundation for specifying transformations among models. We propose a framework for the classification of several existing and proposed model transformation approaches. The classification framework is given as a feature model that makes explicit the different design choices for model transformations. Based on our analysis of model transformation approaches, we propose a few major categories in which most approaches fit.
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Model transformations are touted to play a key role in Model Driven Development™. Although well-established standards for creating metamodels such as the Meta-Object Facility exist, there is currently no mature foundation for specifying transformations among models. We propose a framework for the classification of several existing and proposed model transformation approaches. The classification framework is given as a feature model that makes explicit the different design choices for model transformations. Based on our analysis of model transformation approaches, we propose a few major categories in which most approaches fit.
Key concepts: Model transformation, Transformation (genetics), Computer science, Feature (linguistics), Feature model, Metamodeling, Key (lock), Object (grammar)