The development and application of structural statistical system testing.

G Hughes, J H R May, S Kuball, S Johnson

Research output: Chapter in Book/Report/Conference proceedingConference Contribution (Conference Proceeding)

Abstract

Statistical testing is an important method for justifying system/software design with direct empirical evidence. In this paper the potential inadequacies of traditional 'black-box' reliability estimation models are explored and new 'white-box' box models developed. These new models represent a system as a number of linked components with sets of possible interactions. In this way different degrees of system complexity can be introduced. It is shown that increasing complexity requires more testing to justify a given reliability level, indicating that the results from black-box representations of complex system should be considered to be optimistic. The new models allow the potential increase in testing to be ameliorated by the use of justifiable prior estimates at a component level. The approach offers a new and rigorous approach to the justification of new systems constructed from a number of COTS components.
Translated title of the contributionThe Development and Application of Structural Statistical System Testing
Original languageEnglish
Title of host publicationInt Conf on Control and Instrumentation in Nuclear Installations
EditorsIn P Uyanneh (Ed)
PublisherInstitution of Nuclear Engineers
Pages111 - 126
Number of pages15
Publication statusPublished - 2000

Bibliographical note

Other page information: 4-2
Conference Proceedings/Title of Journal: Int Conf on Control and Instrumentation in Nuclear Installations
Other identifier: 1000532

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