Take a sneak peek at the new NIST.gov and let us know what you think!
(Please note: some content may not be complete on the beta site.).

View the beta site
NIST logo

Publication Citation: Software Fault Complexity and Implications for Software Testing

NIST Authors in Bold

Author(s): David R. Kuhn; D Wallace; A M. Gallo;
Title: Software Fault Complexity and Implications for Software Testing
Published: June 16, 2004
Abstract: Exhaustive testing of computer software is intractable, but empirical studies of software failures suggest that testing can in some cases be effectively exhaustive. Data reported in this study and others show that software failures in a variety of domains were caused by combinations of relatively few conditions. These results have important implications for testing. If all faults in a system can be triggered by a combination of n or fewer parameters, then testing all n-tuples of parameters is effectively equivalent to exhaustive testing for variables with a small set of discrete values.
Citation: IEEE Transactions on Software Engineering
Volume: 30
Issue: 6
Pages: pp. 418 - 421
Keywords: combinatorial testing,fault complexity,software assurance,software quality assurance,software testing
Research Areas: Information Technology, Software Testing Metrics
DOI: http://dx.doi.org/10.1109/TSE.2004.24  (Note: May link to a non-U.S. Government webpage)