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
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