DocumentCode :
2684607
Title :
Software reliability accelerated testing based on the combined testing method
Author :
Feng, Erqiang ; Liu, Chang ; Zheng, Jun
Author_Institution :
China Aero-Ploytechnology Establ., Beijing, China
fYear :
2011
fDate :
12-15 June 2011
Firstpage :
651
Lastpage :
656
Abstract :
For increasing the effectiveness and efficiency of the software reliability testing, a two-stage combined software reliability accelerated testing is proposed. The combined testing method combines representative testing and directed testing, and it is able to test some operations or program modules with low operation frequency to satisfy the coverage criteria if the number of the test cases is the same as the conventional reliability testing. Transition rule and stopping rule which employed in the testing method are also discussed. Important sampling is used to get the accelerated factor. A novel approach to software reliability prediction is presented, which gives more accurate estimation than the classic method when the accelerated testing is applied during the software reliability growth testing. The combined testing method has certain advantages over ordinary software reliability testing verified through the simulation experiment. Meanwhile the comprehensive performance of the approach to software reliability prediction is evaluated.
Keywords :
importance sampling; program testing; software reliability; combined testing method; directed testing; important sampling; representative testing; software reliability accelerated testing; software reliability prediction; stopping rule; transition rule; Data models; Life estimation; Software; Software reliability; Testing; accelerated factor; accelerated testing; combined testing; important sampling; software reliability testing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Reliability, Maintainability and Safety (ICRMS), 2011 9th International Conference on
Conference_Location :
Guiyang
Print_ISBN :
978-1-61284-667-5
Type :
conf
DOI :
10.1109/ICRMS.2011.5979370
Filename :
5979370
Link To Document :
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