Mining analysis patterns by structure and word similarity

Yutaro Nomoto, Atsuto Kubo, Hironori Washizaki, Yoshiaki Fukazawa

    研究成果: Conference contribution

    抜粋

    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.

    元の言語English
    ホスト出版物のタイトルACM International Conference Proceeding Series
    出版者Association for Computing Machinery
    2011-October
    ISBN(印刷物)9781450321099
    DOI
    出版物ステータスPublished - 2011 10 5
    イベント2nd Asian Conference on Pattern Languages of Programs, AsianPLoP 2011 - Tokyo, Japan
    継続期間: 2011 10 52011 10 7

    Other

    Other2nd Asian Conference on Pattern Languages of Programs, AsianPLoP 2011
    Japan
    Tokyo
    期間11/10/511/10/7

      フィンガープリント

    ASJC Scopus subject areas

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

    これを引用

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