DocumentCode :
2412953
Title :
Enhancing Adaptive Random Testing through Partitioning by Edge and Centre
Author :
Chen, Tsong Yueh ; Kuo, Fei-Ching ; Liu, Huai
Author_Institution :
Fac. of Inf. & Commun. Technol., Swinburne Univ. of Technol., Hawthorn, Vic.
fYear :
2007
fDate :
10-13 April 2007
Firstpage :
265
Lastpage :
273
Abstract :
Random testing (RT) is a simple but widely used software testing method. Recently, an approach namely adaptive random testing (ART) was proposed to enhance the fault-detection effectiveness of RT. The basic principle of ART is to enforce random test cases as evenly spread over the input domain as possible. A variety of ART methods have been proposed, and some research has been conducted to compare them. It was found that some ART methods have a preference of selecting test cases from edges of the input domain over from the centre. As a result, these methods may not perform very well under some situations. In this paper, we propose an approach to alleviating the edge preference. We also conducted some simulations and the results confirm that our new approach can improve the effectiveness of these ART methods.
Keywords :
fault diagnosis; program testing; software fault tolerance; adaptive random testing; edge preference; fault detection; software testing; Australia; Communications technology; Computer crashes; Performance evaluation; Power capacitors; Region 1; Software testing; Subspace constraints; Utility programs; Vehicle crash testing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Software Engineering Conference, 2007. ASWEC 2007. 18th Australian
Conference_Location :
Melbourne, Vic.
ISSN :
1530-0803
Print_ISBN :
0-7695-2778-7
Type :
conf
DOI :
10.1109/ASWEC.2007.20
Filename :
4159679
Link To Document :
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