Fuzzy Logic Based Metric in Software Testing

Authors:
Yanhui Zhou;Zili Zhang
Affiliations:
Key Lab of Intell. Softw. and Softw. Eng., Southwest Univ., Chongqing 400715, China, Email: {xiaohui,zhangzl}@swu.edu.cn and Sch. of Info. Technol., Deakin Univ., Victoria, 3217, Australia, Email: ...;Key Lab of Intell. Softw. and Softw. Eng., Southwest Univ., Chongqing 400715, China, Email: {xiaohui,zhangzl}@swu.edu.cn and Sch. of Info. Technol., Deakin Univ., Victoria, 3217, Australia, Email: ...
Venue:
Proceedings of the 2006 conference on Advances in Intelligent IT: Active Media Technology 2006
Year:
2006

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Abstract

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.