• DocumentCode
    3510540
  • Title

    A New Method to Predict Software Defect Based on Rough Sets

  • Author

    Weimin Yang ; Longshu Li

  • Author_Institution
    Key Lab. IC&SP, Anhui Univ., Hefei
  • fYear
    2008
  • fDate
    1-3 Nov. 2008
  • Firstpage
    135
  • Lastpage
    138
  • Abstract
    High quality software should have as few defects as possible. Many modeling techniques have been proposed and applied for software quality prediction. Software projects vary in size and complexity, programming languages, development processes, etc. We research the correlation of software metrics focusing on the data sets of software defect prediction. A rough set model is presented to reduce the attributes of data sets of software defect prediction in this paper. Experiment shows its splendid performance.
  • Keywords
    programming languages; rough set theory; software metrics; software quality; programming languages; rough set model; software defect prediction; software metrics; software quality prediction; Information systems; Intelligent networks; Knowledge representation; Open source software; Predictive models; Rough sets; Set theory; Software metrics; Software quality; Uncertainty; Defect Prediction; Rough Sets; Software Metrics;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Networks and Intelligent Systems, 2008. ICINIS '08. First International Conference on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-0-7695-3391-9
  • Electronic_ISBN
    978-0-7695-3391-9
  • Type

    conf

  • DOI
    10.1109/ICINIS.2008.132
  • Filename
    4683186
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3510540