• DocumentCode
    2206389
  • Title

    Challenges and Issues of Mining Crash Reports

  • Author

    Le An ; Khomh, Foutse

  • Author_Institution
    SWAT, Polytech. Montreal, Montreal, QC, Canada
  • fYear
    2015
  • fDate
    2-2 March 2015
  • Firstpage
    5
  • Lastpage
    8
  • Abstract
    Automatic crash reporting tools built in many software systems allow software practitioners to understand the origin of field crashes and help them prioritise field crashes or bugs, locate erroneous files, and/or predict bugs and crash occurrences in subsequent versions of the software systems. In this paper, after illustrating the structure of crash reports in Mozilla, we discuss some techniques for mining information from crash reports, and highlight the challenges and issues of these techniques. Our aim is to raise the awareness of the research community about issues that may bias research results obtained from crash reports and provide some guidelines to address certain challenges related to mining crash reports.
  • Keywords
    data mining; program debugging; program testing; crash report mining; crash reporting tool; software systems; Algorithm design and analysis; Computer bugs; Data mining; Databases; Software systems; Crash report; bug report; mining softwarerepositories.;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Software Analytics (SWAN), 2015 IEEE 1st International Workshop on
  • Conference_Location
    Montreal, QC
  • Type

    conf

  • DOI
    10.1109/SWAN.2015.7070480
  • Filename
    7070480