DocumentCode
1930703
Title
Adaptive random testing through dynamic partitioning
Author
Chen, T.Y. ; Merkel, R. ; Wong, P.K. ; Eddy, G.
Author_Institution
Sch. of Inf. Technol., Swinburne Univ. of Technol., Hawthorn, Vic., Australia
fYear
2004
fDate
8-9 Sept. 2004
Firstpage
79
Lastpage
86
Abstract
Adaptive random testing (ART) describes a family of algorithms for generating random test cases that have been experimentally demonstrated to have greater fault-detection capacity than simple random testing. We outline and demonstrate two new ART algorithms, and demonstrate experimentally that they offer similar performance advantages, with considerably lower overhead than other ART algorithms.
Keywords
fault diagnosis; program testing; random processes; ART algorithms; adaptive random testing; dynamic partitioning; fault-detection capacity; partition testing; proportional sampling strategy; random test case generation; Automatic testing; Error correction; Information systems; Information technology; Partitioning algorithms; Performance evaluation; Sampling methods; Strips; Subspace constraints; Tin;
fLanguage
English
Publisher
ieee
Conference_Titel
Quality Software, 2004. QSIC 2004. Proceedings. Fourth International Conference on
Print_ISBN
0-7695-2207-6
Type
conf
DOI
10.1109/QSIC.2004.1357947
Filename
1357947
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