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Meta-model Pruning (2009)
| Citations: | 10 - 4 self |
BibTeX
@MISC{Sen09meta-modelpruning,
author = {Sagar Sen and Naouel Moha and Benoit Baudry and Jean-Marc Jézéquel},
title = {Meta-model Pruning },
year = {2009}
}
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Abstract
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.
Keyphrases
meta-model pruning effective meta-model numerous stakeholder term meta-muddle model transformation meta-muddle hence individual user original uml metamodel model creation small view effective meta-models different effective meta-models backward compatibility complex meta-models inter-operability need large meta-model flexible meta-model pruning algorithm
