DocumentCode :
518062
Title :
User-behavior based software fault detection for device
Author :
Rui, Lanlan ; Guo, Shaoyong ; Meng, Luoming ; Wu, Ting
Author_Institution :
State Key Lab. of Networking & Switching Technol., Beijing Univ. of Posts & Telecommun., Beijing, China
Volume :
2
fYear :
2010
fDate :
16-18 April 2010
Abstract :
The paper focuses on the Pre-Detection for device fault to ensure the reliability of the devices. A User-Behavior based software fault detection method was proposed, which imports User-Behavior analysis to select the high priority service set for Pre-Detection of the device software fault. The method is user oriented and could improve the efficiency of detection. The architecture and flow for the User-Behavior based software fault detection were introduced. In addition, the User-Behavior Analysis model and the User-Behavior Set-Selection model to reflect the dependence degree of the user to each service were given. At last, the method was validated by simulation and proved to be valid by comparing with other Pre-Detection methods.
Keywords :
fault diagnosis; maintenance engineering; program testing; software fault tolerance; software maintenance; device fault predetection; device reliability; user behavior based software fault detection; user behavior set selection model; Delta modulation; Fault detection; Laboratories; Maintenance; Network servers; Paper technology; Protocols; Remote monitoring; Research and development management; Telecommunication switching; Device Fault Management; User-Behavior Analysis; User-Behavior Based Software Fault Detection;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Engineering and Technology (ICCET), 2010 2nd International Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4244-6347-3
Type :
conf
DOI :
10.1109/ICCET.2010.5485543
Filename :
5485543
Link To Document :
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