A Method for Software Credibility Assessment Based on Runtime Behavior

نویسندگان

  • Zhibing Wang
  • Changyun Li
  • Shenglong Hu
  • Huang Tan
چکیده

The software is essentially replacing human beings to carry out some certain behavior and software credibility is mainly represented by its credible behavior, so it will be more direct and reliable to assess software credibility according to the information of software runtime behavior. The concept of behavior pattern is abstracted from the software observable behavior and the pattern’s description language is designed. A behavior pattern composed of a trace pattern and a constraint reflects the essential character of software runtime behavior. A bayes model to assess credibility is presented and the model is composed of nodes of behavior pattern matching levels and nodes of credibility attributes. Since the model implicates the condition relation of behavior patterns and credibility attributes, software credibility can be inferred from the uncertainty software runtime behavior. Our metric has been evaluated by an electronic transaction system and its validity is proved.

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تاریخ انتشار 2012