A feature-similarity model for product line engineering

Herman Kaindl, Mike Mannion

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    58 Downloads (Pure)

    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.
    Original languageEnglish
    Title of host publicationSoftware Reuse for Dynamic Systems in the Cloud and Beyond
    Subtitle of host publicationProceedings of the 14th International Conference on Software Reuse
    PublisherSpringer
    Pages35-41
    Number of pages7
    Volume8919
    ISBN (Electronic)978-3-319-14130-5
    ISBN (Print)978-3-319-14129-9
    Publication statusPublished - 2014

    Publication series

    NameLecture Notes in Computer Science
    PublisherSpringer
    Volume8919
    ISSN (Print)0302-9743

    Keywords

    • product line engineering
    • feature-based representation
    • case-based reasoning
    • similarity metric
    • feature-similarity model

    Fingerprint Dive into the research topics of 'A feature-similarity model for product line engineering'. Together they form a unique fingerprint.

  • Cite this

    Kaindl, H., & Mannion, M. (2014). A feature-similarity model for product line engineering. In Software Reuse for Dynamic Systems in the Cloud and Beyond: Proceedings of the 14th International Conference on Software Reuse (Vol. 8919, pp. 35-41). (Lecture Notes in Computer Science; Vol. 8919). Springer. http://icsr2015.ipd.kit.edu/