Hierarchical Behavioral Model for Automatic Runtime Anomaly Detection
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。
dynamic analysis error detection behavioral model
Xiaomin Wan Xiaoguang Mao
Department of Computer Science National University of Defense Technology Changsha, China
国际会议
重庆
英文
1451-1455
2011-08-20（万方平台首次上网日期，不代表论文的发表时间）