DocumentCode :
2658452
Title :
Modeling inter-failure time series using neural networks
Author :
Zaidi, S. Jamal H ; Danial, Syed Nasir ; Usmani, Bilal A.
Author_Institution :
Dept. of Comput. Sci. & Eng., Bahria Univ., Karachi
fYear :
2008
fDate :
23-24 Dec. 2008
Firstpage :
409
Lastpage :
411
Abstract :
Software inter-failure time series analysis has always been a question mark for the reliability engineers. Many models have been proposed since the problem of reliability discovers, but none of them produces adequate results. This study presents a neural network perspective of modeling inter-failure time of software. We compare different parametric models of software reliability with our proposed neural network model and found the proposed more suitable.
Keywords :
neural nets; software reliability; time series; neural networks; parametric models; reliability engineers; software inter-failure time series analysis; software reliability; Artificial neural networks; Biomedical engineering; Computer network reliability; Computer science; Neural networks; Parameter estimation; Power system reliability; Predictive models; Reliability engineering; Software reliability; component; inter-failure time; multilayer perceptron; neural networks; software reliability;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Multitopic Conference, 2008. INMIC 2008. IEEE International
Conference_Location :
Karachi
Print_ISBN :
978-1-4244-2823-6
Electronic_ISBN :
978-1-4244-2824-3
Type :
conf
DOI :
10.1109/INMIC.2008.4777772
Filename :
4777772
Link To Document :
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