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Estimation of software reliability by stratified sampling

Estimation of software reliability by stratified sampling A new approach to software reliability estimation is presented that combines operational testing with stratified sampling in order to reduce the number of program executions that must be checked manually for conformance to requirements. Automatic cluster analysis is applied to execution profiles in order to stratify captured operational executions. Experimental results are reported that suggest this approach can significantly reduce the cost of estimating reliability. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png ACM Transactions on Software Engineering and Methodology (TOSEM) Association for Computing Machinery

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References (30)

Publisher
Association for Computing Machinery
Copyright
Copyright © 1999 by ACM Inc.
ISSN
1049-331X
DOI
10.1145/310663.310667
Publisher site
See Article on Publisher Site

Abstract

A new approach to software reliability estimation is presented that combines operational testing with stratified sampling in order to reduce the number of program executions that must be checked manually for conformance to requirements. Automatic cluster analysis is applied to execution profiles in order to stratify captured operational executions. Experimental results are reported that suggest this approach can significantly reduce the cost of estimating reliability.

Journal

ACM Transactions on Software Engineering and Methodology (TOSEM)Association for Computing Machinery

Published: Jul 1, 1999

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