{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,6]],"date-time":"2025-12-06T04:53:33Z","timestamp":1764996813621},"reference-count":20,"publisher":"World Scientific Pub Co Pte Lt","issue":"04","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Int. J. Patt. Recogn. Artif. Intell."],"published-print":{"date-parts":[[2007,6]]},"abstract":"<jats:p> 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 \u2014 the intrinsic imprecise and uncertain relationships within testing metrics \u2014 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. <\/jats:p>","DOI":"10.1142\/s0218001407005636","type":"journal-article","created":{"date-parts":[[2007,6,22]],"date-time":"2007-06-22T10:58:51Z","timestamp":1182509931000},"page":"709-722","source":"Crossref","is-referenced-by-count":5,"title":["A FUZZY LOGIC BASED APPROACH FOR SOFTWARE TESTING"],"prefix":"10.1142","volume":"21","author":[{"given":"ZILI","family":"ZHANG","sequence":"first","affiliation":[{"name":"School of Engineering and Information Technology, Deakin University, Geelong, VIC 3217, Australia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"YANHUI","family":"ZHOU","sequence":"additional","affiliation":[{"name":"Intelligent Software and Software Engineering Laboratory, Southwest University, Chongqing 400715, P.R. 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