Abstract
Model comparison is an essential prerequisite for a number of model management tasks in Model Driven Engineering, such as model differencing and versioning, model and aspect merging and model transformation testing. In this paper we present the Epsilon Comparison Language (ECL), a hybrid rule-based language, built atop the Epsilon platform, which enables developers to implement comparison algorithms at a high level of abstraction and execute them in order to identify matches between elements belonging to models of diverse metamodels and modelling technologies.
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References
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Kolovos, D.S. (2009). Establishing Correspondences between Models with the Epsilon Comparison Language. In: Paige, R.F., Hartman, A., Rensink, A. (eds) Model Driven Architecture - Foundations and Applications. ECMDA-FA 2009. Lecture Notes in Computer Science, vol 5562. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-02674-4_11
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DOI: https://doi.org/10.1007/978-3-642-02674-4_11
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-02673-7
Online ISBN: 978-3-642-02674-4
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