Measuring Entropy in Business Process Models

  • Authors:
  • Jae-Yoon Jung

  • Affiliations:
  • -

  • Venue:
  • ICICIC '08 Proceedings of the 2008 3rd International Conference on Innovative Computing Information and Control
  • Year:
  • 2008

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Abstract

Workflow process models contain information of tasks and the structures among them. Modeling business process reduces uncertainty of executing the process at run-time in that the model designates the set of executable tasks and control flows. In this research, we address the measurement of uncertainty or variability of workflow process models, through the concept of entropy. The entropy of business process models is a measure of quantifying the uncertainty of process execution. The uncertainty measurement of process models can be utilized to expect the difficulty of the resource assignment and workflow scheduling.