• 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