• DocumentCode
    3452563
  • Title

    Are These Bugs Really "Normal"?

  • Author

    Saha, Ripon K. ; Lawall, Julia ; Khurshid, Sarfraz ; Perry, Dewayne E.

  • Author_Institution
    Univ. of Texas at Austin, Austin, TX, USA
  • fYear
    2015
  • fDate
    16-17 May 2015
  • Firstpage
    258
  • Lastpage
    268
  • Abstract
    Understanding the severity of reported bugs is important in both research and practice. In particular, a number of recently proposed mining-based software engineering techniques predict bug severity, bug report quality, and bug-fix time, according to this information. Many bug tracking systems provide a field "severity" offering options such as "severe", "normal", and "minor", with "normal" as the default. However, there is a widespread perception that for many bug reports the label "normal" may not reflect the actual severity, because reporters may overlook setting the severity or may not feel confident enough to do so. In many cases, researchers ignore "normal" bug reports, and thus overlook a large percentage of the reports provided. On the other hand, treating them all together risks mixing reports that have very diverse properties. In this study, we investigate the extent to which "normal" bug reports actually have the "normal" severity. We find that many "normal" bug reports in practice are not normal. Furthermore, this misclassification can have a significant impact on the accuracy of mining-based tools and studies that rely on bug report severity information.
  • Keywords
    data mining; program debugging; bug report quality; bug severity prediction; bug tracking systems; bug-fix time; mining-based software engineering techniques; minor-severity; normal-bug reports; normal-severity; Accuracy; Computer bugs; Data mining; Noise; Software; Software engineering; Training; Bug Severity; Bug Tracking System; Mining Software Repositories;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Mining Software Repositories (MSR), 2015 IEEE/ACM 12th Working Conference on
  • Conference_Location
    Florence
  • Type

    conf

  • DOI
    10.1109/MSR.2015.31
  • Filename
    7180085