Critical analysis of feature model evolution

    Research output: Contribution to conferenceConference paperpeer-review

    Abstract

    In software product line development, the feature model is widely used to model various relationships between features including variability of features. Although it has been widely used for a long period of time, the feature model suffers from various problems including limited expression of variability, weak scalability and a lack of scientific principles. To overcome such problems, the feature model has evolved and many variations of the original FODA feature model have been proposed but those problems have been only partially solved. To address this current situation of research on feature models, this paper analyzes what problems have been identified in the past, which of them have been solved and which of them still remain to be solved in the evolution of the feature model.

    Original languageEnglish
    Title of host publicationICSESS 2017 - Proceedings of 2017 IEEE 8th International Conference on Software Engineering and Service Science
    EditorsLi Wenzheng, M. Surendra Prasad Babu, Lei Xiaohui
    PublisherIEEE Computer Society
    Pages62-65
    Number of pages4
    ISBN (Electronic)9781538645703
    DOIs
    StatePublished - 2017.07.2
    Event8th IEEE International Conference on Software Engineering and Service Science, ICSESS 2017 - Beijing, China
    Duration: 2017.11.242017.11.26

    Publication series

    NameProceedings of the IEEE International Conference on Software Engineering and Service Sciences, ICSESS
    Volume2017-November
    ISSN (Print)2327-0586
    ISSN (Electronic)2327-0594

    Conference

    Conference8th IEEE International Conference on Software Engineering and Service Science, ICSESS 2017
    Country/TerritoryChina
    CityBeijing
    Period17.11.2417.11.26

    Keywords

    • component
    • feature model
    • Software product line development
    • variability

    Quacquarelli Symonds(QS) Subject Topics

    • Computer Science & Information Systems

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