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Faults on Its Sleeve: Amplifying Software Reliability Testing


Author(s) : Jeff Voas Dick Hamlet, 
Publisher : N/A
Publication Date : 1993
ISSN : N/A
Abstract : Most of the effort that goes into improving the quality of software paradoxically does not lead to quantitative, measurable quality. Software developers and quality-assurance organizations spend a great deal of effort preventing, detecting, and removing "defects"---parts of software responsible for operational failure. But software quality can be measured only by statistical parameters like hazard rate and mean time to failure, measures whose connection with defects and with the development process is little understood. At the same time, direct reliability assessment by random testing of software is impractical. The levels we would like to achieve, on the order of 10,