Jingfan Tang

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With the development of Web services related technologies, the enterprise business systems can be encapsulated through Web services. The service oriented architecture can be adopted for the enterprise business processes. Specific interfaces are introduced between the Web services of different enterprises for data exchanging to achieve the cross-enterprise(More)
This paper presents an adaptive framework of keyword-driven automation testing to support the conversion of the keyword-based test cases into different kinds of test scripts automatically to be executed by different test applications under different test environments (such as GUI environment, database environment, etc.). XML is used to describe the(More)
Alert fusion is a process that analyzes the alerts produced by one or more intrusion detection systems and provides a more succinct and high-level view of security event or attempted intrusions. Unfortunately, the serialized alerts by detected or created time will hide the intrinsic order between alerts. It is a disadvantage to alert fusion. In this paper,(More)
This paper presents a model of workflow-oriented virtual enterprise based on policy driven and multi-agent service composition. The cooperation of the members in virtual enterprise will be implemented through the dynamic composition and execution of the services, which is workflow-oriented. Each service has its own policies for selection of the suitable(More)
  • Jingfan Tang
  • 2010 International Conference on Computational…
  • 2010
Testing resources are usually involved in the early stage of the SDLC and execute formal Software Testing Life Cycle (STLC), which include test requirement analysis, test cases designing and implementation ,test planning, test execution, defect reporting and analysis, etc. It is expected to spent low cost on software testing process to provide high quality(More)
—It is very important to detect shot boundary accurately and quickly in a large number of news video data. Therefore, we proposed a new method with dual-detection model. The method is divided into two stages, i.e. pre-detection and re-detection. In the pre-detection stage, the uneven blocked differences based on the feature of human vision are presented and(More)