A Visual Approach for Data-Intensive Workflow Validation

نویسندگان

  • Minjae Park
  • Hyun Ahn
  • Kwanghoon Pio Kim
چکیده

This paper presents a workflow validation method for data-intensive graphical workflow models using real-time workflow tracing mode on data-intensiveworkflow designer. In order to model and validate workflows, we try to divide as modes have editable mode and tracingmode on data-intensiveworkflow designer. We could design data-intensive workflow using drag and drop in editable-mode, otherwise we could not design but view and trace workflow model in tracing mode. We would like to focus on tracing-mode for workflow validation, and describe how to use workflow tracing on data-intensive workflow model designer. Especially, it is support data centered operation about control logics and exchange variables on workflow runtime for workflow tracing. ☞ keyword : Data-Intensive Workflow Validation, Workflow, BPM

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تاریخ انتشار 2016