• DocumentCode
    2333679
  • Title

    Modelling the fault correction process

  • Author

    Schneidewind, Norman F.

  • Author_Institution
    Naval Postgraduate Sch., Monterey, CA, USA
  • fYear
    2001
  • fDate
    27-30 Nov. 2001
  • Firstpage
    185
  • Lastpage
    190
  • Abstract
    In general, software reliability models have focused on modeling and predicting failure occurrence and have not given equal priority to modeling the fault correction process. However, there is a need for fault correction prediction, because there are important applications that fault correction modeling and prediction support. These are the following: predicting whether reliability goals have been achieved, developing stopping rules for testing, formulating test strategies, and rationally allocating test resources. Because these factors are related, we integrate them in our model. Our modeling approach involves relating fault correction to failure prediction, with a time delay between failure detection and fault correction, represented by a random variable whose distribution parameters are estimated from observed data.
  • Keywords
    parameter estimation; program testing; random processes; software quality; software reliability; distribution parameters; failure occurrence; failure prediction; fault correction prediction; fault correction process modelling; observed data; parameter estimation; random variable; reliability goals; software reliability models; stopping rules; test resource allocation; test strategies; time delay; Application software; Delay effects; Delay estimation; Fault detection; Parameter estimation; Predictive models; Random variables; Resource management; Software reliability; Testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Software Reliability Engineering, 2001. ISSRE 2001. Proceedings. 12th International Symposium on
  • ISSN
    1071-9458
  • Print_ISBN
    0-7695-1306-9
  • Type

    conf

  • DOI
    10.1109/ISSRE.2001.989472
  • Filename
    989472