Understanding Decision-Oriented Variability Modelling

Researchers and practitioners have been developing a wide range of techniques and tools to model and manage variability as a response to the heterogeneity of application areas and the diversity of implementation practices in different domains. In our own research we have been developing a tool-supported approach to decision-oriented variability modelling, which is highly customizable to domain-specific needs. In the past we have reported on our experiences on using the approach and its benefits in diverse industrial contexts. In this paper we present a more formal description of our approach and define the execution semantics of decisionoriented variability models.