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Fuzzy logic based metric in software testing

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journal contribution
posted on 2006-01-01, 00:00 authored by Y Zhou, Zili ZhangZili Zhang
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.

History

Journal

Frontiers in artificial intelligence and applications: advances in intelligent IT: active media technology

Volume

138

Pagination

261 - 267

Publisher

IOS Press

Location

Amsterdam, Netherlands

ISSN

0922-6389

eISSN

1879-8314

Language

eng

Notes

Reproduced with the specific permission of the copyright owner.

Publication classification

C1 Refereed article in a scholarly journal

Copyright notice

2006, The authors

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