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International Conference on Software Product Lines

SPLC 2002: Software Product Lines pp 15–36Cite as

Representing Variability in Software Product Lines: A Case Study

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Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 2379))

Abstract

Variability is the ability to change or customize a software system (i.e., software architects anticipate change and design architectures that support those changes). If the architecture is used for different product versions (e.g., in a software product line context, it becomes important to understand where change has to be planned and the possible options in particular situations. Three variability issues have been identified in a case study involving a software company specializing in product and system development for a professional mobile communication infrastructure. These issues are discussed and analyzed and illustrate the need for handling variability in a more explicit manner. To address this need, this paper suggests a method to represent and normalize variability in industrial software systems. The method is exemplified by applying it to the software product line of the aforementioned company.

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Author information

Authors and Affiliations

  1. Department of Mathematics and Computing Science, University of Groningen, PO Box 800, 9700 AV, Groningen, The Netherlands

    Michel Jaring & Jan Bosch

Authors
  1. Michel Jaring
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  2. Jan Bosch
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Editor information

Editors and Affiliations

  1. Software Engineering Institute, Carnegie Mellon University, 4500 Fifth Avenue, Pittsburgh, PA, 15213, USA

    Gary J. Chastek

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© 2002 Springer-Verlag Berlin Heidelberg

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Jaring, M., Bosch, J. (2002). Representing Variability in Software Product Lines: A Case Study. In: Chastek, G.J. (eds) Software Product Lines. SPLC 2002. Lecture Notes in Computer Science, vol 2379. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45652-X_2

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  • DOI: https://doi.org/10.1007/3-540-45652-X_2

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-43985-1

  • Online ISBN: 978-3-540-45652-0

  • eBook Packages: Springer Book Archive

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