A fuzzy logic based approach for software testing

Zhang, Zili and Zhou, Yanhui 2007, A fuzzy logic based approach for software testing, International journal of pattern recognition and artificial intelligence, vol. 21, no. 4, pp. 709-722, doi: 10.1142/S0218001407005636.

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Title A fuzzy logic based approach for software testing
Author(s) Zhang, ZiliORCID iD for Zhang, Zili orcid.org/0000-0002-8721-9333
Zhou, Yanhui
Journal name International journal of pattern recognition and artificial intelligence
Volume number 21
Issue number 4
Start page 709
End page 722
Publisher World Scientific Publishing
Place of publication Singapore
Publication date 2007-06
ISSN 0218-0014
Keyword(s) Software engineering
software testing
test metric
fuzzy logic
fuzzy reasoning
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. Related issues like the software quality features and fuzzy reasoning for test project similarity measurement are discussed, which can deal with quality and effectiveness consistency between different test projects. Experiments were conducted to verify the proposed measurement using real data from actual software testing projects. Experimental results show that the proposed fuzzy logic based metrics is effective and efficient to measure and evaluate the quality and effectiveness of test projects.
Language eng
DOI 10.1142/S0218001407005636
Field of Research 080309 Software Engineering
HERDC Research category C1 Refereed article in a scholarly journal
Persistent URL http://hdl.handle.net/10536/DRO/DU:30007060

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