Consistency-based merging of variability models

Mathias Uta, Alexander Felfernig, Gottfried Schenner, Johannes Spöcklberger

Research output: Contribution to journalConference articlepeer-review


Globally operating enterprises selling large and complex products and services often have to deal with situations where variability models are locally developed to take into account the requirements of local markets. For example, cars sold on the U.S. market are represented by variability models in some or many aspects different from European ones. In order to support global variability management processes, variability models and the underlying knowledge bases often need to be integrated. This is a challenging task since an integrated knowledge base should not produce results which are different from those produced by the individual knowledge bases. In this paper, we introduce an approach to variability model integration that is based on the concepts of contextual modeling and conflict detection. We present the underlying concepts and the results of a corresponding performance analysis.

Original languageEnglish
Number of pages4
JournalCEUR Workshop Proceedings
Publication statusPublished - 1 Jan 2019
Event21st International Configuration Workshop, ConfWS 2019 - Hamburg, Germany
Duration: 19 Sept 201920 Sept 2019

ASJC Scopus subject areas

  • Computer Science(all)


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