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FaMa

  • David BenavidesEmail author
  • Pablo Trinidad
  • Antonio Ruiz-Cortés
  • Sergio Segura
Chapter

Abstract

Extracting relevant information from variability models is an important task to support decision-making in product line development and product configuration.

Keywords

Feature Model Smart Home Software Product Line Variability Model Product Configuration 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

References

  1. 1.
    BeTTy framework. http://www.isa.us.es/betty/
  2. 2.
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    Moskitt Feature Modeler. http://www.pros.upv.es/mfm/
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    Cetina, C., Pelechano, V., Trinidad, P., Ruiz-Cortés, A.: An architectural discussion on DSPL. In: SPLC (2), pp. 59–68. Lero International Science Centre, University of Limerick, Ireland (2008)Google Scholar
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    Trinidad, P., Ruiz-Cortés, A., Peña, J., Benavides, D.: Mapping feature models onto component models to build dynamic software product lines. In: SPLC (2), pp. 51–56. Kindai Kagaku Sha Co. Ltd., Tokyo, Japan (2007)Google Scholar
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    Trinidad, P., Muller, C., García-Galán, J., Ruiz-Cortés, A.: Building industry-ready tools: FAMA Framework and ADA. In: WASDeTT-3 (2010)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • David Benavides
    • 1
    Email author
  • Pablo Trinidad
    • 1
  • Antonio Ruiz-Cortés
    • 1
  • Sergio Segura
    • 1
  1. 1.University of SevilleSevilleSpain

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