• DocumentCode
    3537333
  • Title

    A Bug Rule Based Technique with Feedback for Classifying Bug Reports

  • Author

    Zhang, Tao ; Lee, Byungjeong

  • Author_Institution
    Sch. of Comput. Sci., Univ. of Seoul, Seoul, South Korea
  • fYear
    2011
  • fDate
    Aug. 31 2011-Sept. 2 2011
  • Firstpage
    336
  • Lastpage
    343
  • Abstract
    As software programs become increasingly large and complex, it is more important to improve the quality of software maintenance. Many software programs rely on bug reports to correct errors in maintenance activities. Bug tracking systems were developed to guide maintenance activities of software developers. However, due to the excessive number of duplicate bug reports, developers spend much time to identify these bug reports. In this study, in order to save developers´ time in software maintenance, we propose a bug rule based classification technique to categorize bug reports. By utilizing developer feedback mechanism in the technique, it distinguishes duplicate and valid bug reports and is expected to improve the accuracy of bug reports retrieval. Finally, we show the feasibility of this technique in experiment and case study.
  • Keywords
    pattern classification; program debugging; software maintenance; software quality; bug reports classification; bug reports retrieval; bug rule based classification technique; bug rule based technique; bug tracking systems; developer feedback mechanism; duplicate bug reports; maintenance activity; software developers; software maintenance quality; software programs; Classification algorithms; Clustering algorithms; Computational modeling; Computer bugs; Crawlers; Software; Taxonomy; bug report classification; bug tracking system; developer feedback; software maintenance;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer and Information Technology (CIT), 2011 IEEE 11th International Conference on
  • Conference_Location
    Pafos
  • Print_ISBN
    978-1-4577-0383-6
  • Electronic_ISBN
    978-0-7695-4388-8
  • Type

    conf

  • DOI
    10.1109/CIT.2011.90
  • Filename
    6036786