Industrial validation of COVAMOF

  • Authors:
  • Marco Sinnema;Sybren Deelstra

  • Affiliations:
  • University of Groningen, Department of Mathematics and Computer Science, University of Groningen, P.O. Box 800, 9700 AV Groningen, The Netherlands;University of Groningen, Department of Mathematics and Computer Science, University of Groningen, P.O. Box 800, 9700 AV Groningen, The Netherlands

  • Venue:
  • Journal of Systems and Software
  • Year:
  • 2008

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Abstract

COVAMOF is a variability management framework for product families that was developed to reduce the number of iterations required during product derivation and to reduce the dependency on experts. In this paper, we present the results of an experiment with COVAMOF in industry. The results show that with COVAMOF, engineers that are not involved in the product family were now capable of deriving the products in 100% of the cases, compared to 29% of the cases without COVAMOF. For experts, the use of COVAMOF reduced the number of iterations by 42%, and the total derivation time by 38%.