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Reliability estimation from appropriate testing of plant protection software

J. May, G. Hughes, A. D. Lunn, Reliability estimation from appropriate testing of plant protection software. Software Engineering Journal, 10 (11). ISSN 0268-6961, pp. 206–218. November 1995. No electronic version available.

Abstract

Plant protection software may be realistically tested using inputs from a plant model before its initial use, or when it is not feasible to take the plant into certain fault conditions. The process of testing to estimate a software reliability is illustrated, including simulation of the software input space and statistical inference from test results to a reliability estimate. In addition to a conventional statistics approach to this problem, a new statistical model is presented which has been developed within a program of Nuclear Electric research into software reliability testing.

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