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A Feature-Similarity Model for Product Line Engineering

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Software Reuse for Dynamic Systems in the Cloud and Beyond (ICSR 2015)

Part of the book series: Lecture Notes in Computer Science ((LNPSE,volume 8919))

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Abstract

Search, retrieval and comparison of products in a product line are common tasks during product line evolution. Feature modeling approaches do not easily support these tasks. This vision paper sets out a proposal for a feature-similarity model in which similarity metrics as used for example in case-based reasoning (CBR) are integrated with feature models. We describe potential applications for Product Line Scoping, Domain Engineering and Application Engineering.

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Author information

Authors and Affiliations

  1. Institute of Computer Technology, Vienna University of Technology, Vienna, Austria

    Hermann Kaindl

  2. Executive Group, Glasgow Caledonian University, Glasgow, UK

    Mike Mannion

Authors
  1. Hermann Kaindl
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  2. Mike Mannion
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Editor information

Editors and Affiliations

  1. Institut für Softwaretechnik und Fahrzeuginformatik, Technische Universität Braunschweig, Mühlenpfordtstr. 23, 38106, Braunschweig, Germany

    Ina Schaefer

  2. Department of Informatics, Aristotle University of Thessaloniki, 54124, Thessaloniki, Greece

    Ioannis Stamelos

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Kaindl, H., Mannion, M. (2014). A Feature-Similarity Model for Product Line Engineering. In: Schaefer, I., Stamelos, I. (eds) Software Reuse for Dynamic Systems in the Cloud and Beyond. ICSR 2015. Lecture Notes in Computer Science, vol 8919. Springer, Cham. https://doi.org/10.1007/978-3-319-14130-5_3

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  • DOI: https://doi.org/10.1007/978-3-319-14130-5_3

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-14129-9

  • Online ISBN: 978-3-319-14130-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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