Meta-model Pruning

Sen, Sagar; Moha, Naouel; Baudry, Benoit et Jézéquel, Jean-Marc (2009). « Meta-model Pruning » (Proceedings of the ACM/IEEE 12th International Conference on Model Driven Engineering Languages and Systems (MODELS'09), ), sous la dir. de Sch"urr, Andy et Selic, Bran. 32–-46.

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Large and complex meta-models such as those of Uml and its profiles are growing due to modelling and inter-operability needs of numerous stakeholders. The complexity of such meta-models has led to coining of the term meta-muddle. Individual users often exercise only a small view of a meta-muddle for tasks ranging from model creation to construction of model transformations. What is the effective meta-model that represents this view? We present a flexible meta-model pruning algorithm and tool to extract effective meta-models from a meta-muddle. We use the notion of model typing for meta-models to verify that the algorithm generates a super-type of the large meta-model representing the meta-muddle. This implies that all programs written using the effective meta-model will work for the meta-muddle hence preserving backward compatibility. All instances of the effective meta-model are also instances of the meta-muddle. We illustrate how pruning the original Uml metamodel produces different effective meta-models.

Type: Communication, article de congrès ou colloque
Informations complémentaires: IRISA/INRIA, University of Rennes 1, France
Déposé par: Naouel Moha
Date de dépôt: 29 janv. 2013 14:12
Dernière modification: 01 nov. 2014 02:24
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