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Metrics for the Evaluation of Feature Models in an Industrial Context: A Case Study at Opel

  • Olesia Oliinyk
  • Kai Petersen
  • Manfred Schoelzke
  • Martin Becker
  • Soeren Schneickert
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9013)

Abstract

[Context & motivation] Feature models are used in product line engineering to document possible product configurations on the feature level. [Problem] In order to quantify the success of adopting feature modeling in practice, we need to understand the industry relevant metrics for feature model evaluation. [Solution] In order to identify the metrics a Goal-Question-Metric approach was used in the context of a case study conducted at Adam Opel AG. [Contribution:] We identified seven goals (quality criteria) we should strive for and evaluate when using feature models. Furthermore, we identified 18 sub-goals, 27 questions and corresponding metrics. The metrics were used to reflect on the feature modeling conducted at the company.

Keywords

Feature modelling Evaluation GQM House of Quality Automotive Opel 

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Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  • Olesia Oliinyk
    • 1
  • Kai Petersen
    • 2
  • Manfred Schoelzke
    • 3
  • Martin Becker
    • 4
  • Soeren Schneickert
    • 4
  1. 1.CapgeminiFrankfurtGermany
  2. 2.Blekinge Institute of TechnologyKarlskronaSweden
  3. 3.Adam Opel AGRüsselsheimGermany
  4. 4.Fraunhofer Institute for Experimental Software EngineeringKaiserslauternGermany

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