• DocumentCode
    1913116
  • Title

    A Framework of Bug Reporting System Based on Keywords Extraction and Auction Algorithm

  • Author

    Tan, Shenglong ; Hu, Shenghong ; Chen, Lihong

  • Author_Institution
    Sch. of Comput., Hubei Univ. of Econ., Wuhan, China
  • fYear
    2010
  • fDate
    16-18 July 2010
  • Firstpage
    281
  • Lastpage
    284
  • Abstract
    Bug report is becoming a main approach to improve and perfect a complicated piece of software, but analyzing the bug report is a tedious and time-consuming job, especially when the number of bug reports is huge and many duplicate reports are mixed within the incoming bug reports. In this paper, we present a framework to automatically triage and detect the duplicate bug reports by keywords extraction and combine those existing relative reports to form a more integrated and complete bug report, and then assign the report to appropriate developer based on auction rules and developer´s experiences. After having fixed the bug, the developer can submit some new keywords related to the fixed bug to the system, in which we can complement the keywords repository.
  • Keywords
    knowledge acquisition; program debugging; software engineering; auction algorithm; bug reporting system; keywords extraction; software engineering; software pieces; time-consuming job; Classification algorithms; Computer bugs; Context; History; Privacy; Software; Software engineering; Bug reports; bug triage; keywords extraction; similarity;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    ChinaGrid Conference (ChinaGrid), 2010 Fifth Annual
  • Conference_Location
    Guangzhou
  • Print_ISBN
    978-1-4244-7543-8
  • Electronic_ISBN
    978-1-4244-7544-5
  • Type

    conf

  • DOI
    10.1109/ChinaGrid.2010.13
  • Filename
    5562866