Abstract
Model persistence has always been one of the major interests of the model-driven development community. In this context, Persistent Meta-Modeling Systems (PMMS) have been proposed as database environments dedicated to meta-modeling and model management. Yet, if existing PMMS store meta-models, models and instances, they provide mechanisms that are sometimes insufficient to accomplish some advanced model management tasks like model transformation or model analysis. In this paper we validate the work achieved in [5] by exploiting the support of user-defined operations in PMMS in order to perform model transformations and model analysis. © Springer-Verlag 2013.
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Bazhar, Y., Ouhammou, Y., Aït-Ameur, Y., Grolleau, E., & Jean, S. (2013). Persistent meta-modeling systems as heterogeneous model repositories. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 8216 LNCS, pp. 25–37). Springer Verlag. https://doi.org/10.1007/978-3-642-41366-7_3
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