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Fuzzy logic based metric in software testing

Zhou, Yanhui and Zhang, Zili 2006, Fuzzy logic based metric in software testing, Frontiers in artificial intelligence and applications: advances in intelligent IT: active media technology, vol. 138, pp. 261-267.

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Title Fuzzy logic based metric in software testing
Author(s) Zhou, Yanhui
Zhang, Zili
Journal name Frontiers in artificial intelligence and applications: advances in intelligent IT: active media technology
Volume number 138
Start page 261
End page 267
Publisher IOS Press
Place of publication Amsterdam, Netherlands
Publication date 2006
ISSN 0922-6389
0927-720X
Keyword(s) fuzzy logic
software testing
ISO/IEC 9126
testing metric
Summary 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.
Notes Reproduced with the specific permission of the copyright owner.
Language eng
Field of Research 080309 Software Engineering
HERDC Research category C1 Refereed article in a scholarly journal
Copyright notice ©2006, The authors
Persistent URL http://hdl.handle.net/10536/DRO/DU:30003581

Document type: Journal Article
Collections: School of Engineering and Information Technology
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