Formalizing software ecosystem modeling
Proceedings of the 1st international workshop on Open component ecosystems
From software product lines to software ecosystems
Proceedings of the 13th International Software Product Line Conference
Recovering inter-project dependencies in software ecosystems
Proceedings of the IEEE/ACM international conference on Automated software engineering
A framework for analysing and visualising open source software ecosystems
Proceedings of the Joint ERCIM Workshop on Software Evolution (EVOL) and International Workshop on Principles of Software Evolution (IWPSE)
A study of ripple effects in software ecosystems (NIER track)
Proceedings of the 33rd International Conference on Software Engineering
Configuration of Multi Product Lines by Bridging Heterogeneous Variability Modeling Approaches
SPLC '11 Proceedings of the 2011 15th International Software Product Line Conference
Formalizing distributed evolution of variability in information system ecosystems
Proceedings of the Sixth International Workshop on Variability Modeling of Software-Intensive Systems
Variability-aware safety analysis using delta component fault diagrams
Proceedings of the 17th International Software Product Line Conference co-located workshops
Capturing variability in space and time with hyper feature models
Proceedings of the Eighth International Workshop on Variability Modelling of Software-Intensive Systems
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A software ecosystem (SECO) encompasses a set of interdependent software systems where individual products are created by combining a common software platform with variable extensions. Examples are the SECOs surrounding Eclipse or Android. Due to independent release cycles of the multiple vendors for platform and extensions, SECOs are evolving frequently. This makes it hard to get a concise impression of the structure of a SECO and its variable artifacts during a given period of time. We contribute a metamodel to capture the variability in an arbitrary SECO and its evolution based on the notion of real time. We further present a procedure to create temporal perspectives on the SECO. Additionally, we provide means to analyze evolution of variability in between explicit releases of the platform, e.g., in accordance with the different release cycles of individual extensions. We demonstrate feasibility of our approach by modeling a part of the Eclipse SECO over a period of three years.