A fuzzy logic based approach for software testing Zhang, Zili and Zhou, Y 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. Attached Files Name Description MIMEType Size Downloads Title A fuzzy logic based approach for software testing Author(s) Zhang, Zili orcid.org/0000-0002-8721-9333 Zhou, Y Journal name International Journal of Pattern Recognition and Artificial Intelligence Volume number 21 Issue number 4 Start page 709 End page 722 Total pages 14 Publisher WORLD SCIENTIFIC PUBL CO PTE LTD Publication date 2007-06-01 ISSN 0218-0014 1793-6381 Keyword(s) Science & Technology Technology Computer Science, Artificial Intelligence Computer Science 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 0801 Artificial Intelligence and Image Processing 1702 Cognitive Sciences HERDC Research category C1 Refereed article in a scholarly journal Persistent URL http://hdl.handle.net/10536/DRO/DU:30007060 Document type: Journal Article Collections: Faculty of Science, Engineering and Built Environment School of Information Technology Related Links Link Description Connect to published version (restricted access) Go to link with your DU access privileges     Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved. Versions Version Filter Type Thu, 11 Dec 2008, 08:40:30 EST Fri, 16 Sep 2011, 11:55:46 EST Fri, 16 Sep 2011, 11:56:22 EST Fri, 16 Sep 2011, 11:58:12 EST Mon, 16 Jun 2014, 08:20:42 EST Wed, 02 Jul 2014, 14:36:20 EST Thu, 01 Jul 2021, 05:01:11 EST Thu, 01 Jul 2021, 06:05:14 EST Sun, 07 Nov 2021, 12:14:18 EST Sun, 07 Nov 2021, 12:39:58 EST Sun, 07 Nov 2021, 13:31:24 EST Filtered Full Citation counts:   Cited 4 times in TR Web of Science Cited 6 times in Scopus Search Google Scholar Access Statistics: 1951 Abstract Views, 2 File Downloads  -  Detailed Statistics Created: Mon, 29 Sep 2008, 08:47:49 EST