Openly accessible

Fuzzy logic based metric in software testing

Zhou, Yanhui and Zhang, Zili 2006, Fuzzy logic based metric in software testing, Frontiers in artificial intelligence and applications: advances in intelligent IT: active media technology, vol. 138, pp. 261-267.

Attached Files
Name Description MIMEType Size Downloads
zhang-fuzzylogicbased-2006.pdf Published version application/pdf 266.16KB 27

Title Fuzzy logic based metric in software testing
Author(s) Zhou, Yanhui
Zhang, Zili
Journal name Frontiers in artificial intelligence and applications: advances in intelligent IT: active media technology
Volume number 138
Start page 261
End page 267
Publisher IOS Press
Place of publication Amsterdam, Netherlands
Publication date 2006
ISSN 0922-6389
1879-8314
Keyword(s) fuzzy logic
software testing
ISO/IEC 9126
testing metric
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. 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.
Notes Reproduced with the specific permission of the copyright owner.
Language eng
Field of Research 080309 Software Engineering
HERDC Research category C1 Refereed article in a scholarly journal
Copyright notice ©2006, The authors
Persistent URL http://hdl.handle.net/10536/DRO/DU:30003581

Document type: Journal Article
Collections: School of Engineering and Information Technology
Open Access Collection
Connect to link resolver
 
Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved.

Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au.

Versions
Version Filter Type
Access Statistics: 427 Abstract Views, 27 File Downloads  -  Detailed Statistics
Created: Mon, 07 Jul 2008, 08:57:13 EST

Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au.