• DocumentCode
    3059330
  • Title

    PACOGEN: Automatic Generation of Pairwise Test Configurations from Feature Models

  • Author

    Hervieu, Aymeric ; Baudry, Benoit ; Gotlieb, Arnaud

  • Author_Institution
    INRIA Rennes Bretagne Atlantique, Rennes, France
  • fYear
    2011
  • fDate
    Nov. 29 2011-Dec. 2 2011
  • Firstpage
    120
  • Lastpage
    129
  • Abstract
    Feature models are commonly used to specify variability in software product lines. Several tools support feature models for variability management at different steps in the development process. However, tool support for test configuration generation is currently limited. This test generation task consists in systematically selecting a set of configurations that represent a relevant sample of the variability space and that can be used to test the product line. In this paper we propose pw tool to analyze feature models and automatically generate a set of configurations that cover all pair wise interactions between features. pw tool relies on constraint programming to generate configurations that satisfy all constraints imposed by the feature model and to minimize the set of the tests configurations. This work also proposes an extensive experiment, based on the state-of-the art SPLOT feature models repository, showing that pw tool scales over variability spaces with millions of configurations and covers pair wise with less configurations than other available tools.
  • Keywords
    automatic test pattern generation; formal specification; program testing; software development management; software tools; Pacogen; SPLOT feature models; automatic test configuration generation; formal specification; software development; software product lines; software tools; software variability management; Arrays; Data models; Minimization; Optimization; Programming; Testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Software Reliability Engineering (ISSRE), 2011 IEEE 22nd International Symposium on
  • Conference_Location
    Hiroshima
  • ISSN
    1071-9458
  • Print_ISBN
    978-1-4577-2060-4
  • Type

    conf

  • DOI
    10.1109/ISSRE.2011.31
  • Filename
    6132960