Title :
Software Aging Detection Based on NARX Model
Author :
Li, Su ; Yong, Qi
Author_Institution :
Sch. of Electron. & Inf. Eng., Xi´´an Jiaotong Univ., Xi´´an, China
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.
Keywords :
autoregressive processes; software reliability; NARX model; nonlinear autoregressive models; software aging detection; software aging test; software reliability; Aging; Analytical models; Data models; Mathematical model; Software systems; Training; HelixServer; Nonlinear autoregressive models with exogenous inputs; Sequential probability ratio test; software aging;
Conference_Titel :
Web Information Systems and Applications Conference (WISA), 2012 Ninth
Conference_Location :
Haikou
Print_ISBN :
978-1-4673-3054-1
DOI :
10.1109/WISA.2012.22
