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
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;
Conference_Titel :
Software Engineering Workshop, 2002. Proceedings. 27th Annual NASA Goddard/IEEE
Print_ISBN :
0-7695-1855-9
DOI :
10.1109/SEW.2002.1199453