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Abstract：
Software aging is a severe test on the reliability of the software. In this paper, we present a method of nonlinear autoregressive models with exogenous inputs to detect the aging phenomenon of the software system. This method considered the relationship between multivariable and the influence of the delay of historical data. The experimental analysis shows that, using the NARX model to detect fault can be effectively applied in the software aging test. © 2012 IEEE.
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Source ：
Proceedings - 9th Web Information Systems and Applications Conference, WISA 2012
Year： 2012
Publish Date： 2012
Page： 105-110
Language： English
Cited Count：
WoS CC Cited Count： 0
SCOPUS Cited Count： 9
ESI Highly Cited Papers on the List： 0 Unfold All
WanFang Cited Count：
Chinese Cited Count：
30 Days PV： 6
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