Towards feature-driven planning of product-line evolution
FOSD '09 Proceedings of the First International Workshop on Feature-Oriented Software Development
Proceedings of the 13th International Software Product Line Conference
Formal modelling of feature configuration workflows
Proceedings of the 13th International Software Product Line Conference
Simulating evolution in model-based product line engineering
Information and Software Technology
Software product line evolution: the Selecta system
Proceedings of the 2010 ICSE Workshop on Product Line Approaches in Software Engineering
FOSD '10 Proceedings of the 2nd International Workshop on Feature-Oriented Software Development
Evolution of the linux kernel variability model
SPLC'10 Proceedings of the 14th international conference on Software product lines: going beyond
Delta-oriented architectural variability using MontiCore
Proceedings of the 5th European Conference on Software Architecture: Companion Volume
A systematic review and an expert survey on capabilities supporting multi product lines
Information and Software Technology
Model-driven support for product line evolution on feature level
Journal of Systems and Software
First-class variability modeling in Matlab/Simulink
Proceedings of the Seventh International Workshop on Variability Modelling of Software-intensive Systems
SimPL: A product-line modeling methodology for families of integrated control systems
Information and Software Technology
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Software maintenance and evolution are among the most challenging and cost-intensive activities in software engineering. This is not different for software product lines due to their complexity and long life-span. New customer requirements, technology changes and internal enhancements lead to the continuous evolution of a product line's reusable assets. Due to the size of product lines, single stakeholders or teams can only maintain a small part of a system which poses additional challenges for evolution. This paper presents an approach supporting product line evolution by organizing variability models of large-scale product lines as a set of interrelated model fragments defining the variability of particular parts of the system. The approach allows semi-automatic merging of fragments into complete variability models. We also provide tool support to automatically detect changes that would make models and the architecture inconsistent. Furthermore, our approach supports the co-evolution of variability models and their respective meta-models. We illustrate the approach with examples from an ongoing industry collaboration.