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International Conference on Software Product Lines

SPLC 2010: Software Product Lines: Going Beyond pp 166–180Cite as

Variability Management in Software Product Lines: An Investigation of Contemporary Industrial Challenges

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Part of the book series: Lecture Notes in Computer Science ((LNPSE,volume 6287))

Abstract

Variability management is critical for achieving the large scale reuse promised by the software product line paradigm. It has been studied for almost 20 years. We assert that it is important to explore how well the body of knowledge of variability management solves the challenges faced by industrial practitioners, and what are the remaining and (or) emerging challenges. To gain such understanding of the challenges of variability management faced by practitioners, we have conducted an empirical study using focus group as data collection method. The results of the study highlight several technical challenges that are often faced by practitioners in their daily practices. Different from previous studies, the results also reveal and shed light on several non-technical challenges that were almost neglected by existing research.

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Author information

Authors and Affiliations

  1. Lero - the Irish Software Engineering Research Centre, Limerick, Ireland

    Lianping Chen

  2. IT University of Copenhagen, Denmark

    Muhammad Ali Babar

Authors
  1. Lianping Chen
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  2. Muhammad Ali Babar
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Editor information

Editors and Affiliations

  1. Intuit, Mountain View, CA, USA

    Jan Bosch

  2. School of Computing and Communications, Lancaster University, Lancaster, UK

    Jaejoon Lee

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Chen, L., Babar, M.A. (2010). Variability Management in Software Product Lines: An Investigation of Contemporary Industrial Challenges. In: Bosch, J., Lee, J. (eds) Software Product Lines: Going Beyond. SPLC 2010. Lecture Notes in Computer Science, vol 6287. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-15579-6_12

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  • DOI: https://doi.org/10.1007/978-3-642-15579-6_12

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-15578-9

  • Online ISBN: 978-3-642-15579-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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