Improved searchability of bug reports using content-based labeling with machine learning of sentences

Yuki Noyori, Hironori Washizaki, Yoshiaki Fukazawa, Hideyuki Kanuka, Keishi Ooshima, Ryosuke Tsuchiya

    研究成果: Conference contribution

    1 被引用数 (Scopus)

    抄録

    Most stakeholders refer to past bug reports when they encounter a problem since bug reports contain useful information. However, searching for specific content is difficult because there are many bug reports. The desired content depends on the viewpoint of the stakeholder. A full text search includes unwanted content, which is costly. Although this problem has been previously noted, a solution has yet to be proposed. Herein we propose Content-based Labeling Method as a solution. This method organizes information in a bug report by labeling each sentence based on its contents, allowing stakeholders’ viewpoints to be considered. We evaluate the improvement in searchability. The Content-based Labeling Method improves the searchability according to the F-measure and precision of the experimental results.

    本文言語English
    ホスト出版物のタイトルKnowledge-Based Software Engineering
    ホスト出版物のサブタイトル2018 - Proceedings of the 12th Joint Conference on Knowledge-Based Software Engineering, JCKBSE 2018
    編集者Fumihiro Kumeno, Konstantinos Oikonomou, Maria Virvou
    出版社Springer Science and Business Media Deutschland GmbH
    ページ75-85
    ページ数11
    ISBN(印刷版)9783319976785
    DOI
    出版ステータスPublished - 2019 1 1
    イベント12th Joint Conference on Knowledge-Based Software Engineering, JCKBSE 2018 - Corfu, Greece
    継続期間: 2018 8 272018 8 30

    出版物シリーズ

    名前Smart Innovation, Systems and Technologies
    108
    ISSN(印刷版)2190-3018
    ISSN(電子版)2190-3026

    Other

    Other12th Joint Conference on Knowledge-Based Software Engineering, JCKBSE 2018
    CountryGreece
    CityCorfu
    Period18/8/2718/8/30

    ASJC Scopus subject areas

    • Decision Sciences(all)
    • Computer Science(all)

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