• DocumentCode
    1862350
  • Title

    An Empirical Comparison of Fault-Prone Module Detection Approaches: Complexity Metrics and Text Feature Metrics

  • Author

    Mizuno, Osamu ; Hata, Hideaki

  • Author_Institution
    Grad. Sch. of Sci. & Technol., Kyoto Inst. of Technol., Kyoto, Japan
  • fYear
    2010
  • fDate
    19-23 July 2010
  • Firstpage
    248
  • Lastpage
    249
  • Abstract
    In order to assure the quality of software product, early detection of fault-prone products is necessary. Fault-prone module detection is one of the major and traditional area of software engineering. However, comparative study using the fair environment rarely conducted so far because there is little data publicly available. This paper tries to conduct a comparative study of fault-prone module detection approaches.
  • Keywords
    software fault tolerance; software metrics; complexity metrics; fault-prone module detection; software engineering; text feature metrics; Accuracy; Bayesian methods; Complexity theory; Data mining; Feature extraction; Measurement; Training; Fault-prone module; software metrics;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Software and Applications Conference (COMPSAC), 2010 IEEE 34th Annual
  • Conference_Location
    Seoul
  • ISSN
    0730-3157
  • Print_ISBN
    978-1-4244-7512-4
  • Electronic_ISBN
    0730-3157
  • Type

    conf

  • DOI
    10.1109/COMPSAC.2010.30
  • Filename
    5676267