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http://dx.doi.org/10.7472/jksii.2016.17.5.43

A Visual Approach for Data-Intensive Workflow Validation  

Park, Minjae (Global Engineering Innovation Center, BISTel, Inc.)
Ahn, Hyun (Dept. of Computer Science, Kyonggi University)
Kim, Kwanghoon Pio (Dept. of Computer Science, Kyonggi University)
Publication Information
Journal of Internet Computing and Services / v.17, no.5, 2016 , pp. 43-49 More about this Journal
Abstract
This paper presents a workflow validation method for data-intensive graphical workflow models using real-time workflow tracing mode on data-intensive workflow designer. In order to model and validate workflows, we try to divide as modes have editable mode and tracing mode on data-intensive workflow 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.
Keywords
Data-Intensive Workflow Validation; Workflow; BPM;
Citations & Related Records
Times Cited By KSCI : 3  (Citation Analysis)
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