A model for compound type changes encountered in schema evolution
ACM Transactions on Database Systems (TODS)
Proceedings of the 5th international conference on Generative programming and component engineering
Applying software product line techniques in model-based embedded systems engineering
MOMPES '09 Proceedings of the 2009 ICSE Workshop on Model-Based Methodologies for Pervasive and Embedded Software
Towards feature-driven planning of product-line evolution
FOSD '09 Proceedings of the First International Workshop on Feature-Oriented Software Development
Synchronizing cardinality-based feature models and their specializations
ECMDA-FA'05 Proceedings of the First European conference on Model Driven Architecture: foundations and Applications
Metamodel adaptation and model co-adaptation
ECOOP'07 Proceedings of the 21st European conference on Object-Oriented Programming
Evolution patterns for business document models
Proceedings of the 15th International Software Product Line Conference, Volume 2
Model-based product line evolution: an incremental growing by extension
Proceedings of the 16th International Software Product Line Conference - Volume 2
Evolving delta-oriented software product line architectures
Proceedings of the 17th Monterey conference on Large-Scale Complex IT Systems: development, operation and management
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Companies successfully applying product line approaches often follow a long-term strategy and need to plan product portfolios years ahead. For instance in the automotive industry, managers constantly make decisions about future product evolution, like "the LED tail lights will be introduced with the next facelift and the LED front lights two years later". With a raising number of features, feature changes, and evolution steps, a systematic approach for evolution planning becomes essential. However, there is only very little support for such evolution in model-based product line engineering so far. This paper presents an approach for extending model-driven product line engineering towards automated and tool-supported techniques for product line evolution. We provide a feature-based approach to model the variability over time and a catalogue of change operators for feature models.