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Journal of Information Science and Engineering, Vol. 24 No. 2, pp. 343-359 (March 2008)

Control-path Oriented Workflow Intelligence Analyses**

Minjae Park and Kwanghoon Kim
Collaboration Technology Research Lab.
Department of Computer Science
Kyonggi University
Suwonsi Kyonggido, 442-760, South Korea
E-mail: {mjpark; kwang}

This paper proposes two kinds of control-path oriented workflow knowledge analysis approaches which will be applied to a workflow intelligence and quality improvement framework aiming at the high degree of the workflow traceability and rediscoverability. The framework needs two kinds of algorithms ? One is for generating the total sequences of the control-paths from a workflow model, and the other is for rediscovering the runtime enactment history of each control-path out of the total sequences from the corresponding workflows execution logs. The proposed approaches have something to do with the former, and each of them include a set of detailed algorithms for analyzing the total sequences of the control-path perspective of a workflow model. Eventually, the analyzed results from the approaches will be effectively used for some rediscovery approaches to rediscover control-path oriented workflow intelligence from the runtime enactment history, which is called workflow events log. Based upon those control-path oriented workflow intelligences, it will be realized for a workflow model not only to be gradually refined, but also to be finally revealed to maximize its quality by repeatedly redesigning, reengineering and/or refining during its whole life-long time period.

Keywords: workflow intelligence and quality, workflow control-path analysis and rediscovery, workflow traceability, workflow knowledge analysis, workflow mining and rediscoverability

Full Text () Retrieve PDF document (200803_02.pdf)

Received September 7, 2005; revised October 16, 2006; accepted September 20, 2007.
Communicated by Tei-Wei Kuo.
*This research was supported by the contents convergence software research center funded by the GRRC program of Gyeonggi Province, Republic of Korea.