• DocumentCode
    2084003
  • Title

    Software reliability accelerated testing method based on mixed testing

  • Author

    Wu, Yumei ; Zhang, Yongqi ; Lu, Minyan

  • Author_Institution
    BeiHang Univ., Beijing, China
  • fYear
    2010
  • fDate
    25-28 Jan. 2010
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    This study is conducted by solving these four key questions: the key points of the whole testing process; the data and information to be collected during the testing process; the model to estimate the software reliability; the verification of the testing method and the estimation model. Software reliability accelerated testing (SRAT) based on mixed testing is proposed. SRAT increases the effectiveness and efficiency of the reliability 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. Improved software reliability model based on order statistics (SRMOS) is presented. It gives more accurate estimation than the classic software reliability models when the SRAT is applied during the reliability growth testing. Finally the experiment of web based software used as a case study is carefully designed and implemented to verify the feasibility and effectiveness of SRAT. Meanwhile the comprehensive performance of SRMOS is evaluated.
  • Keywords
    program testing; software reliability; statistics; mixed testing; order statistics; software reliability accelerated testing; Costs; Frequency; Life estimation; Life testing; Mission critical systems; Software performance; Software reliability; Software testing; Statistics; Telecommunications; mixed testing; software reliability accelerated testing; software reliability estimation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Reliability and Maintainability Symposium (RAMS), 2010 Proceedings - Annual
  • Conference_Location
    San Jose, CA
  • ISSN
    0149-144X
  • Print_ISBN
    978-1-4244-5102-9
  • Electronic_ISBN
    0149-144X
  • Type

    conf

  • DOI
    10.1109/RAMS.2010.5448017
  • Filename
    5448017