DocumentCode :
2333679
Title :
Modelling the fault correction process
Author :
Schneidewind, Norman F.
Author_Institution :
Naval Postgraduate Sch., Monterey, CA, USA
fYear :
2001
fDate :
27-30 Nov. 2001
Firstpage :
185
Lastpage :
190
Abstract :
In general, software reliability models have focused on modeling and predicting failure occurrence and have not given equal priority to modeling the fault correction process. However, there is a need for fault correction prediction, because there are important applications that fault correction modeling and prediction support. These are the following: predicting whether reliability goals have been achieved, developing stopping rules for testing, formulating test strategies, and rationally allocating test resources. Because these factors are related, we integrate them in our model. Our modeling approach involves relating fault correction to failure prediction, with a time delay between failure detection and fault correction, represented by a random variable whose distribution parameters are estimated from observed data.
Keywords :
parameter estimation; program testing; random processes; software quality; software reliability; distribution parameters; failure occurrence; failure prediction; fault correction prediction; fault correction process modelling; observed data; parameter estimation; random variable; reliability goals; software reliability models; stopping rules; test resource allocation; test strategies; time delay; Application software; Delay effects; Delay estimation; Fault detection; Parameter estimation; Predictive models; Random variables; Resource management; Software reliability; Testing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Software Reliability Engineering, 2001. ISSRE 2001. Proceedings. 12th International Symposium on
ISSN :
1071-9458
Print_ISBN :
0-7695-1306-9
Type :
conf
DOI :
10.1109/ISSRE.2001.989472
Filename :
989472
Link To Document :
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