• DocumentCode
    2075366
  • Title

    Characterizing and predicting which bugs get fixed: an empirical study of Microsoft Windows

  • Author

    Guo, Philip J. ; Zimmermann, Thomas ; Nagappan, Nachiappan ; Murphy, Brendan

  • Volume
    1
  • fYear
    2010
  • fDate
    2-8 May 2010
  • Firstpage
    495
  • Lastpage
    504
  • Abstract
    We performed an empirical study to characterize factors that affect which bugs get fixed in Windows Vista and Windows 7, focusing on factors related to bug report edits and relationships between people involved in handling the bug. We found that bugs reported by people with better reputations were more likely to get fixed, as were bugs handled by people on the same team and working in geographical proximity. We reinforce these quantitative results with survey feedback from 358 Microsoft employees who were involved in Windows bugs. Survey respondents also mentioned additional qualitative influences on bug fixing, such as the importance of seniority and interpersonal skills of the bug reporter. Informed by these findings, we built a statistical model to predict the probability that a new bug will be fixed (the first known one, to the best of our knowledge). We trained it on Windows Vista bugs and got a precision of 68% and recall of 64% when predicting Windows 7 bug fixes. Engineers could use such a model to prioritize bugs during triage, to estimate developer workloads, and to decide which bugs should be closed or migrated to future product versions.
  • Keywords
    operating systems (computers); program debugging; statistical analysis; Windows 7; Windows Vista; Windows bugs; bug fixing; probability; statistical model; Buildings; Computer bugs; Databases; Measurement; Open source software; Testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Software Engineering, 2010 ACM/IEEE 32nd International Conference on
  • Conference_Location
    Cape Town
  • ISSN
    0270-5257
  • Print_ISBN
    978-1-60558-719-6
  • Type

    conf

  • DOI
    10.1145/1806799.1806871
  • Filename
    6062117