A Novel Evolutionary Approach for Adaptive Random Testing

Random testing is a low cost strategy that can be applied to a wide range of testing problems. While the cost and straightforward application of random testing are appealing, these benefits must be evaluated against the reduced effectiveness due to the generality of the approach. Recently, a number...

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Veröffentlicht in:	IEEE transactions on reliability Jg. 58; H. 4; S. 619 - 633
Hauptverfasser:	Tappenden, A.F., Miller, J.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York IEEE 01.12.2009 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Adaptive algorithms Adaptive random testing Algorithms Analysis of variance Application software Asymptotic properties automated testing Automatic testing Biological cells Complexity Costs Evolutionary Evolutionary algorithms evolutionary computing and genetic algorithms Gain Genetic algorithms Power capacitors random testing Runtime Search algorithms Software testing Strategy Studies Subspace constraints test generation test strategies
ISSN:	0018-9529, 1558-1721
Online-Zugang:	Volltext
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