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App review driven collaborative bug finding.

Xunzhu Tang1, Haoye Tian1, Pingfan Kong1

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Summary
This summary is machine-generated.

This study introduces BugRMSys, a novel approach to collaborative bug finding in mobile apps. By analyzing app reviews, it effectively identifies and reports new software bugs, improving code quality.

Keywords:
App reviewBug findingBug reportBug similarity

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Area of Science:

  • Software Engineering
  • Mobile Application Development
  • Bug Detection

Background:

  • Software development teams actively seek methods to uncover bugs in their codebases.
  • The hypothesis posits that mobile applications within the same category may share similar bug patterns during their evolution.

Purpose of the Study:

  • To develop and evaluate a novel approach for collaborative bug finding by leveraging insights from app reviews.
  • To enhance the efficiency of bug detection in new mobile applications by transferring knowledge from historical bug reports of similar apps.

Main Methods:

  • The BugRMSys approach was designed to recommend bug reports for a target application.
  • It matches historical bug reports from same-category apps with user app reviews of the target app.
  • DistilBERT was utilized for natural language text embeddings to identify similarities between bug reports and app reviews.

Main Results:

  • BugRMSys successfully identified and reported 20 new bugs across six popular applications.
  • Among the reported bugs, 9 were triaged, 6 confirmed, and 4 fixed by development teams.
  • The approach demonstrated the ability to quickly expose bugs in targeted applications like Brave.

Conclusions:

  • The BugRMSys approach effectively utilizes app reviews to guide collaborative bug finding.
  • This method significantly aids in the rapid identification and reporting of previously unknown software defects.
  • The findings suggest a promising direction for improving software quality through cross-application bug knowledge transfer.