zhang-fuzzylogicbased-2006.pdf (266.16 kB)
Fuzzy logic based metric in software testing
How to provide cost-effective strategies for Software Testing has been one of the research focuses in Software Engineering for a long time. Many researchers in Software Engineering have addressed the effectiveness and quality metric of Software Testing, and many interesting results have been obtained. However, one issue of paramount importance in software testing – the intrinsic imprecise and uncertain relationships within testing metrics – is left unaddressed. To this end, a new quality and effectiveness measurement based on fuzzy logic is proposed. The software quality features and analogy-based reasoning are discussed, which can deal with quality and effectiveness consistency between different test projects. Experimental results are also provided to verify the proposed measurement.
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Journal
Frontiers in artificial intelligence and applications: advances in intelligent IT: active media technologyVolume
138Pagination
261 - 267Publisher
IOS PressLocation
Amsterdam, NetherlandsISSN
0922-6389eISSN
1879-8314Language
engNotes
Reproduced with the specific permission of the copyright owner.Publication classification
C1 Refereed article in a scholarly journalCopyright notice
2006, The authorsUsage metrics
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