Software Reliability Corroboration

  • Authors:
  • Carol Smidts;Bojan Cukic;Erdogan Gunel;Ming Li;Harshinder Singh

  • Affiliations:
  • -;-;-;-;-

  • Venue:
  • SEW '02 Proceedings of the 27th Annual NASA Goddard Software Engineering Workshop (SEW-27'02)
  • Year:
  • 2002

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Abstract

The authors 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, the authors 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, the authors 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.