A State-of-the-Art Survey on Software Merging
IEEE Transactions on Software Engineering
IFM '02 Proceedings of the Third International Conference on Integrated Formal Methods
Eclipse Modeling Framework
Languages evolve too! Changing the Software Time Scale
IWPSE '05 Proceedings of the Eighth International Workshop on Principles of Software Evolution
Model comparison: a foundation for model composition and model transformation testing
Proceedings of the 2006 international workshop on Global integrated model management
Managing Dependent Changes in Coupled Evolution
ICMT '09 Proceedings of the 2nd International Conference on Theory and Practice of Model Transformations
A comparison of model migration tools
MODELS'10 Proceedings of the 13th international conference on Model driven engineering languages and systems: Part I
On the concurrent versioning of metamodels and models: challenges and possible solutions
Proceedings of the 2nd International Workshop on Model Comparison in Practice
What is needed for managing co-evolution in MDE?
Proceedings of the 2nd International Workshop on Model Comparison in Practice
Model patches in model-driven engineering
MODELS'09 Proceedings of the 2009 international conference on Models in Software Engineering
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The management of consistency among modelling artefacts is of crucial importance in model-driven engineering. Especially in distributed development, refinements of both metamodels and models are usually performed in a concurrent and misaligned manner, thus breaking consistency among model versions. Inconsistency situations become harmful when propagating changes from a local workspace to the shared repository or vice versa. The changes propagation can be achieved through model differences detection and application, exploiting filtering mechanisms when migration is not permitted. Nevertheless, loss of information due to metamodel evolutions may occur when filtering differences between models conforming to different versions of the modelling language. In this work we propose to minimise this loss of information by enhancing the filtering mechanism to take into account metamodel evolution information.