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

*この研究の対応する著者

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
イベント12th Joint Conference on Knowledge-Based Software Engineering, JCKBSE 2018 - Corfu, Greece
継続期間: 2018 8月 272018 8月 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
国/地域Greece
CityCorfu
Period18/8/2718/8/30

ASJC Scopus subject areas

  • 決定科学(全般)
  • コンピュータ サイエンス(全般)

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