DocumentCode :
1805198
Title :
Hierarchical behavioral model for automatic runtime anomaly detection
Author :
Xiaomin Wan ; Xiaoguang Mao
Author_Institution :
Department of Computer Science, National University of Defense Technology, Changsha, China
fYear :
2013
fDate :
1-8 Jan. 2013
Firstpage :
1
Lastpage :
5
Abstract :
In order to detect runtime errors using program monitoring, specifications are necessary. This paper presents a novel model that describes hierarchical structure of program runtime behavior. The model is composed of elements with granularities from activity, object to action. By observing program behavior as it runs, we construct hierarchical view of program executions and extract behavioral models automatically. After that, we propose an automatic technique for runtime error detection for java programs with a preliminary experiment.
Keywords :
Analytical models; Instruments; Manuals; Monitoring; behavioral model; dynamic analysis; error detection;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Conference Anthology, IEEE
Conference_Location :
China
Type :
conf
DOI :
10.1109/ANTHOLOGY.2013.6784956
Filename :
6784956
Link To Document :
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