Title
A Framework for Metamodel Composition and Adaptation with Conformance-Preserving Model Migration.
Abstract
Metamodels are important artefacts in Model-Driven Engineering. Composition and adaptation of metamodels have been studied thoroughly during the last decade. However, there are still challenges concerning how to co-evolve modelling artefacts as metamodels are changed. Specifically, conformant models will no longer be valid instances of their changed metamodel. In this paper, we propose a formal analysis-based framework for composition and adaptation of metamodels. The framework enables an arbitrary number of metamodels to evolve based on adaptation strategies. During the analysis we accumulate information that are used to re-establish conformance between existing models and the metamodels. We prove how model conformance is ensured based on the accumulated information from the analysis.
Year
DOI
Venue
2015
10.1007/978-3-319-27869-8_8
Communications in Computer and Information Science
Field
DocType
Volume
Business context,Software engineering,Computer science,Class hierarchy,Theoretical computer science,Metamodeling
Conference
580
ISSN
Citations 
PageRank 
1865-0929
0
0.34
References 
Authors
9
2
Name
Order
Citations
PageRank
Ingrid Chieh Yu116418.53
Henning Berg243.15