• DocumentCode
    2684607
  • Title

    Software reliability accelerated testing based on the combined testing method

  • Author

    Feng, Erqiang ; Liu, Chang ; Zheng, Jun

  • Author_Institution
    China Aero-Ploytechnology Establ., Beijing, China
  • fYear
    2011
  • fDate
    12-15 June 2011
  • Firstpage
    651
  • Lastpage
    656
  • Abstract
    For increasing the effectiveness and efficiency of the software reliability testing, a two-stage combined software reliability accelerated testing is proposed. The combined testing method combines representative testing and directed testing, and it is able to test some operations or program modules with low operation frequency to satisfy the coverage criteria if the number of the test cases is the same as the conventional reliability testing. Transition rule and stopping rule which employed in the testing method are also discussed. Important sampling is used to get the accelerated factor. A novel approach to software reliability prediction is presented, which gives more accurate estimation than the classic method when the accelerated testing is applied during the software reliability growth testing. The combined testing method has certain advantages over ordinary software reliability testing verified through the simulation experiment. Meanwhile the comprehensive performance of the approach to software reliability prediction is evaluated.
  • Keywords
    importance sampling; program testing; software reliability; combined testing method; directed testing; important sampling; representative testing; software reliability accelerated testing; software reliability prediction; stopping rule; transition rule; Data models; Life estimation; Software; Software reliability; Testing; accelerated factor; accelerated testing; combined testing; important sampling; software reliability testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Reliability, Maintainability and Safety (ICRMS), 2011 9th International Conference on
  • Conference_Location
    Guiyang
  • Print_ISBN
    978-1-61284-667-5
  • Type

    conf

  • DOI
    10.1109/ICRMS.2011.5979370
  • Filename
    5979370