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Test Statistics for System Design Failure

John May, Silke Kuball, Gordon Hughes, Test Statistics for System Design Failure. CSTR-98-006, Department of Computer Science, University of Bristol. April 1998. No electronic version available.

Abstract

A first step towards linking program size and program failure rate estimation is done for a basic case of software architecture using idealized model assumptions. The statistical model used contains program size as a parameter, providing a novel type of analysis of systematic failure in systems. Development of the approach to more complex cases opens up possibilities for a new kind of system analysis with significant opportunity for cross-fertilisation between statisticians and system engineers.

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