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
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;
Conference_Titel :
Conference Anthology, IEEE
Conference_Location :
China
DOI :
10.1109/ANTHOLOGY.2013.6784956