• DocumentCode
    3455077
  • Title

    Software reliability corroboration

  • Author

    Smidts, Carol ; Cukic, Bojan ; Gunel, Erdogan ; Li, Ming ; Singh, Harshinder

  • Author_Institution
    Dept. of Mater. & Nucl. Eng., Maryland Univ., College Park, MD, USA
  • fYear
    2002
  • fDate
    5-6 Dec. 2002
  • Firstpage
    82
  • Lastpage
    87
  • Abstract
    We suggest that subjective reliability estimation from the development lifecycle, based on observed behavior or the reflection of one´s belief in the system quality, be included in certification. In statistical terms, we hypothesize that a system failure occurs with the estimated probability. Presumed reliability needs to be corroborated by statistical testing during the reliability certification phase. As evidence relevant to the hypothesis increases, we change the degree of belief in the hypothesis. Depending on the corroboration evidence, the system is either certified or rejected. The advantage of the proposed theory is an economically acceptable number of required system certification tests, even for high assurance systems so far considered impossible to certify.
  • Keywords
    software metrics; software quality; software reliability; statistical testing; system recovery; high assurance systems; software development cycle; software reliability; statistical testing; system certification; system failure; system quality; Application software; Certification; Electronic mail; Probability; Reliability engineering; Software measurement; Software quality; Software reliability; Software testing; System testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Software Engineering Workshop, 2002. Proceedings. 27th Annual NASA Goddard/IEEE
  • Print_ISBN
    0-7695-1855-9
  • Type

    conf

  • DOI
    10.1109/SEW.2002.1199453
  • Filename
    1199453