DocumentCode :
519043
Title :
A runtime approach for software fault analysis based on interpolation
Author :
Hu, Wenhui ; Gao, Xin ; Ye, Wei ; Zhang, Shikun
Author_Institution :
Nat. Eng. Res. Center for Software Eng., Peking Univ., Beijing, China
fYear :
2010
fDate :
11-13 May 2010
Firstpage :
92
Lastpage :
97
Abstract :
In the application system, obtaining the information of the system at runtime and analyzing them are important for system adjustment. Many runtime metrics can be collected from software systems, and some statistical relationships exist among these metrics. Extracting the information of these metrics from the monitoring data and then analyzing the relationships between these metrics is an effective way to detect failure and diagnose fault. This paper proposes a fault analysis approach for the system at runtime which gets the information of the system by monitoring. We demonstrate this approach in a case study which shows that our approach is effective and is beneficial to find the relationship between the fault and the component.
Keywords :
interpolation; software fault tolerance; software metrics; software quality; interpolation; runtime approach; software defect analysis technology; software fault analysis; software system quality; statistical relationships; Application software; Condition monitoring; Data analysis; Data mining; Failure analysis; Fault detection; Information analysis; Interpolation; Runtime; Software systems; interpolation; monitoring; runtime fault analysis;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
New Trends in Information Science and Service Science (NISS), 2010 4th International Conference on
Conference_Location :
Gyeongju
Print_ISBN :
978-1-4244-6982-6
Electronic_ISBN :
978-89-88678-17-6
Type :
conf
Filename :
5488642
Link To Document :
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