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Application of Fuzzy Weighted Feature Diagrams to Model Variability in Software Families

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Book cover Artificial Intelligence and Soft Computing - ICAISC 2004 (ICAISC 2004)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 3070))

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Abstract

In the paper the employment of fuzzy logic in feature models for software system families is presented. The fuzzy weights of some variable features are introduced. The approach is demonstrated on the example of the feature model describing car properties. The formulas resulting from the description of the feature tree and its constraints can be used as input for an expert system validating possible feature combinations.

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Author information

Authors and Affiliations

  1. Chair of Computer Science and Management,  

    Silva Robak

  2. Institute of Control and Computation Engineering, University of Zielona Góra, Podgórna 50 Str., 65-246, Zielona Góra, Poland

    Andrzej Pieczyński

Authors
  1. Silva Robak
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  2. Andrzej Pieczyński
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Editor information

Editors and Affiliations

  1. Department of Artificial Intelligence, Academy of Humanities and Economics, Poland

    Leszek Rutkowski

  2. German Research Center of Artificial Intelligence (DFKI), Germany

    Jörg H. Siekmann

  3. Institute of Automatics, AGH University of Science and Technology, Al. Mickiewicza 30, PL-30-059, Kraków, Poland

    Ryszard Tadeusiewicz

  4. Department of Electrical Engineering and Computer Sciences, University of California, Berkeley, Initiative in Soft Computing (BISC), 94720-1776, Berkeley, CA

    Lotfi A. Zadeh

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© 2004 Springer-Verlag Berlin Heidelberg

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Robak, S., Pieczyński, A. (2004). Application of Fuzzy Weighted Feature Diagrams to Model Variability in Software Families. In: Rutkowski, L., Siekmann, J.H., Tadeusiewicz, R., Zadeh, L.A. (eds) Artificial Intelligence and Soft Computing - ICAISC 2004. ICAISC 2004. Lecture Notes in Computer Science(), vol 3070. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-24844-6_53

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  • DOI: https://doi.org/10.1007/978-3-540-24844-6_53

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-22123-4

  • Online ISBN: 978-3-540-24844-6

  • eBook Packages: Springer Book Archive

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