Integrating heterogeneous variability modeling approaches with invar

  • Authors:

  • Deepak Dhungana;Dominik Seichter;Goetz Botterweck;Rick Rabiser;Paul Grünbacher;David Benavides;José A. Galindo

  • Affiliations:

  • Siemens AG Österreich Corporate Technology, Vienna, Austria;Lero--The Irish Software Engineering Research Center, Limerick, Ireland;Lero--The Irish Software Engineering Research Center, Limerick, Ireland;Christian Doppler Lab for Automated Software Engineering, JKU Linz, Austria;Christian Doppler Lab for Automated Software Engineering, JKU Linz, Austria;University of Seville, Seville, Spain;University of Seville, Seville, Spain

  • Venue:
  • Proceedings of the Seventh International Workshop on Variability Modelling of Software-intensive Systems
  • Year:
  • 2013

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Abstract

There have been several proposals to describe the variability of software product lines by using modeling languages. In larger organizations or projects (e.g., multi product line environments) this can lead to a situation where multiple variability modeling techniques are used simultaneously. Rather than enforcing a single modeling language, we present an integrative infrastructure that provides a unified perspective for users configuring products in such multi product line environments, regardless of the different modeling methods and tools used internally. In this tool demonstration paper, we present a prototypical implementation of our framework based on Web services. So far, the prototype has been used with a feature-based, an OVM-style and a decision-oriented variability modeling approach.