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

*Corresponding author for this work

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

1 Citation (Scopus)

Abstract

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.

Original languageEnglish
Title of host publicationKnowledge-Based Software Engineering
Subtitle of host publication2018 - Proceedings of the 12th Joint Conference on Knowledge-Based Software Engineering, JCKBSE 2018
EditorsFumihiro Kumeno, Konstantinos Oikonomou, Maria Virvou
PublisherSpringer Science and Business Media Deutschland GmbH
Pages75-85
Number of pages11
ISBN (Print)9783319976785
DOIs
Publication statusPublished - 2019
Event12th Joint Conference on Knowledge-Based Software Engineering, JCKBSE 2018 - Corfu, Greece
Duration: 2018 Aug 272018 Aug 30

Publication series

NameSmart Innovation, Systems and Technologies
Volume108
ISSN (Print)2190-3018
ISSN (Electronic)2190-3026

Other

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

Keywords

  • Bug report
  • Labeling
  • Machine learning
  • Searchability

ASJC Scopus subject areas

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

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