DocumentCode
3250718
Title
Mirror adaptive random testing
Author
Chen, T.Y. ; Kuo, F.-C. ; Merkel, R.G. ; Ng, S.P.
Author_Institution
Sch. of Inf. Technol., Swinburne Univ. of Technol., Hawthorn, Vic., Australia
fYear
2003
fDate
6-7 Nov. 2003
Firstpage
4
Lastpage
11
Abstract
Adaptive random testing (ART) has recently been introduced to improve the fault-detection effectiveness of random testing (RT) for certain types of failure-causing patterns. However, ART requires extra computations to ensure an even spread of test cases, which may render ART to be less cost-effective than RT. In this paper, we introduce an innovative approach, namely Mirror Adaptive Random Testing (MART), to reduce these computations. Our simulation results clearly show that MART does improve the cost-effectiveness of ART.
Keywords
program testing; software cost estimation; software selection; black box testing; failure-causing patterns; fault-detection; mirror adaptive random testing; software testing; test case selection; Computational modeling; Information technology; Mirrors; Shape; Software quality; Software systems; Software testing; Strips; Subspace constraints; System testing;
fLanguage
English
Publisher
ieee
Conference_Titel
Quality Software, 2003. Proceedings. Third International Conference on
Print_ISBN
0-7695-2015-4
Type
conf
DOI
10.1109/QSIC.2003.1319079
Filename
1319079
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