Mining analysis patterns by structure and word similarity

Yutaro Nomoto, Atsuto Kubo, Hironori Washizaki, Yoshiaki Fukazawa

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

    Abstract

    Analysis patterns encapsulating recurrent analysis processes and results are reused for software analysis. Due to high cost of extracting analysis patterns from existing assets, analysis patterns are sometimes unavailable even though there are a lot of requirements and models as assets. Thus we propose a technique for extracting analysis patterns from existing requirements and corresponding analysis models described in the form of UML class diagrams. Our technique analyzes a set of requirements and corresponding analysis models in terms of structure and word similarity, and specifies commonality. By using our technique, it is possible to extract analysis patterns without high cost.

    Original languageEnglish
    Title of host publicationACM International Conference Proceeding Series
    PublisherAssociation for Computing Machinery
    Volume2011-October
    ISBN (Print)9781450321099
    DOIs
    Publication statusPublished - 2011 Oct 5
    Event2nd Asian Conference on Pattern Languages of Programs, AsianPLoP 2011 - Tokyo, Japan
    Duration: 2011 Oct 52011 Oct 7

    Other

    Other2nd Asian Conference on Pattern Languages of Programs, AsianPLoP 2011
    CountryJapan
    CityTokyo
    Period11/10/511/10/7

    Keywords

    • Analysis patterns
    • Pattern extraction
    • Thesaurus
    • UML (Unified Modeling Language)

    ASJC Scopus subject areas

    • Human-Computer Interaction
    • Computer Networks and Communications
    • Computer Vision and Pattern Recognition
    • Software

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  • Cite this

    Nomoto, Y., Kubo, A., Washizaki, H., & Fukazawa, Y. (2011). Mining analysis patterns by structure and word similarity. In ACM International Conference Proceeding Series (Vol. 2011-October). [a20] Association for Computing Machinery. https://doi.org/10.1145/2524629.2524655