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MODELS
2015
Springer

Automated Metamodel/Model Co-Evolution using a Multi-Objective Optimization Approach

5 years 7 months ago
Automated Metamodel/Model Co-Evolution using a Multi-Objective Optimization Approach
Abstract—Metamodels undergo many changes during the evolution of several software modeling languages and projects. As a consequence, models have to be updated for preserving their conformance with the new metamodel versions. A common practice is to manually define rules for each metamodel evolution to co-evolve the corresponding models. In this paper, we propose a generic automated approach for the metamodel/model coevolution. In our approach, we view the co-evolution as a multiobjective optimization problem, and we solve it using the NSGAII algorithm. Our algorithm search for solutions that minimize (1) the non-conformities with the new metamodel version, (2) the changes to the existing models, and (3) the loss of information. We successfully evaluated our approach on the evolution of the well-known UML state machine metamodel.
Wael Kessentini
Added 15 Apr 2016
Updated 15 Apr 2016
Type Journal
Year 2015
Where MODELS
Authors Wael Kessentini
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