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Quality-Oriented Product Line Modeling Using Feature Diagrams and Preference Logic

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Book cover Information and Software Technologies (ICIST 2012)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 319))

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Abstract

Current domain analysis methods for product line engineering usually focus on the implementation of functional requirements for product lines while neglecting the quality aspects. However, in modern software system development the non-functional requirements, such as dependability, maintainability and, especially, quality, have become more important. Furthermore, quality is one of essentials dimensions of variability and there are complex direct and indirect relationships between functional and quality features of systems. The aim of this paper is to extend feature modeling for modeling software quality using elements of preference logic to aid the designer in the decision making process when selecting alternative (optional) features from a feature diagram. Preference logic is used to compactly represent and reason about preference relations between features and quality aspects in integrated feature-quality models represented using extended feature diagrams.

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Authors and Affiliations

  1. Software Engineering Department, Kaunas University of Technology, Studentų 50-415, LT-51368, Kaunas, Lithuania

    Paulius Paskevicius, Robertas Damasevicius & Vytautas Štuikys

Authors
  1. Paulius Paskevicius
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  2. Robertas Damasevicius
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  3. Vytautas Štuikys
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Editors and Affiliations

  1. Kaunas University of Technology, Studentu g. 50-313a, LT-51368, Kaunas, Lithuania

    Tomas Skersys  & Rimantas Butleris  & 

  2. Kaunas University of Technology, Studentu g. 50-309a, LT-51368, Kaunas, Lithuania

    Rita Butkiene

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Paskevicius, P., Damasevicius, R., Štuikys, V. (2012). Quality-Oriented Product Line Modeling Using Feature Diagrams and Preference Logic. In: Skersys, T., Butleris, R., Butkiene, R. (eds) Information and Software Technologies. ICIST 2012. Communications in Computer and Information Science, vol 319. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-33308-8_20

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  • DOI: https://doi.org/10.1007/978-3-642-33308-8_20

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-33307-1

  • Online ISBN: 978-3-642-33308-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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