• DocumentCode
    1898895
  • Title

    Research on the Application of Data Mining in Software Testing and Defects Analysis

  • Author

    Shen, Yanguang ; Liu, Jie

  • Author_Institution
    Sch. of Inf. & Electron. Eng., Hebei Univ. of Eng., Handan, China
  • Volume
    2
  • fYear
    2009
  • fDate
    10-11 Oct. 2009
  • Firstpage
    619
  • Lastpage
    621
  • Abstract
    The high dependability software is not only one of software technique development commanding points, but also is the software industry development essential foundation, this paper summarizes the data mining to face the detect of the software credibility test, the appraisal and the technical aspect newest research, elaborated the data mining technology in the software flaw test application, including flaw test in commonly used data mining method, data mining system and software testing management system. Introduced specifically in view of the software flaw´s different classification based on the connection rule´s software flaw parsing technique´s application, proposed based on the association rule´s software detect evaluation method, the purpose of which is to decrease software defects and to achieve the rapid growth of software dependability.
  • Keywords
    data mining; program testing; association rule; data mining; defects analysis; software credibility test; software flaw parsing; software flaw test; software technique; software testing; Application software; Appraisal; Computer industry; Data mining; Face detection; Mining industry; Research and development management; Software development management; Software testing; System testing; Association rules; Data mining; Dependable software; Software defects; Software testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Computation Technology and Automation, 2009. ICICTA '09. Second International Conference on
  • Conference_Location
    Changsha, Hunan
  • Print_ISBN
    978-0-7695-3804-4
  • Type

    conf

  • DOI
    10.1109/ICICTA.2009.384
  • Filename
    5287758