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Failure Size Proportional Models and an Analysis of Failure Detection Abilities of Software Testing Strategies.
- Source :
- IEEE Transactions on Reliability; Jun2007, Vol. 56 Issue 2, p246-253, 8p, 1 Diagram, 3 Charts
- Publication Year :
- 2007
-
Abstract
- This paper combines two distinct areas of research, namely software reliability growth modeling, and efficacy studies on software testing methods. It begins by proposing two software reliability growth models with a new approach to modeling. These models make the basic assumption that the intensity of failure occurrence during the testing phase of a piece of software is proportional to the s-expected probability of selecting a failure-causing input. The first model represents random testing, and the second model represents partition testing. These models provide the s-expected number of failures over a period, which in turn is used in analyzing the failure detection abilities of testing strategies. The specific areas of investigation are • conditions that enable partition testing yielding optimal results, and • comparison between partition testing and random testing in terms of efficacy [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 00189529
- Volume :
- 56
- Issue :
- 2
- Database :
- Complementary Index
- Journal :
- IEEE Transactions on Reliability
- Publication Type :
- Academic Journal
- Accession number :
- 25452712
- Full Text :
- https://doi.org/10.1109/TR.2007.895310