• DocumentCode
    231256
  • Title

    A Diversity Model Based on Failure Distribution and Its Application in Safety Cases

  • Author

    Luping Chen ; May, John

  • Author_Institution
    Safety Syst. Res. Centre, Univ. of Bristol, Bristol, UK
  • fYear
    2014
  • fDate
    June 30 2014-July 2 2014
  • Firstpage
    1
  • Lastpage
    10
  • Abstract
    This work develops a new basis for evaluating the reliability benefits of diverse software, based on fault injection testing. In particular, the work investigates forms of argumentation that could be used to justify diversity as a basis for the construction of safety claims. Failure distributions of two versions of diverse software under various fault conditions are revealed separately by fault injection methods, and then the common failure probability of the version-pair can be estimated. The approach is justified theoretically, and cross validated with other work. This method is also used to explain the fundamental influence of failure distributions on diversity.
  • Keywords
    configuration management; program testing; safety-critical software; software fault tolerance; diverse software; diversity model; failure distributions; failure probability; fault conditions; fault injection methods; fault injection testing; reliability benefits; safety cases; safety claims; version-pair; Mathematical model; Safety; Sociology; Software; Software reliability; Statistics; Fault Injection; Multi-version; Reliability; Safety Case; Safety Critical System; Software Diversity;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Software Security and Reliability (SERE), 2014 Eighth International Conference on
  • Conference_Location
    San Francisco, CA
  • Print_ISBN
    978-1-4799-4296-1
  • Type

    conf

  • DOI
    10.1109/SERE.2014.13
  • Filename
    6895410