DocumentCode
2579262
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
fYear
2012
fDate
16-18 Nov. 2012
Firstpage
105
Lastpage
110
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Web Information Systems and Applications Conference (WISA), 2012 Ninth
Conference_Location
Haikou
Print_ISBN
978-1-4673-3054-1
Type
conf
DOI
10.1109/WISA.2012.22
Filename
6385193
Link To Document