TY - GEN
T1 - Measuring entropy in business process models
AU - Jung, Jae Yoon
N1 - Copyright:
Copyright 2008 Elsevier B.V., All rights reserved.
PY - 2008
Y1 - 2008
N2 - 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.
AB - 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.
UR - https://www.scopus.com/pages/publications/52449096928
U2 - 10.1109/ICICIC.2008.350
DO - 10.1109/ICICIC.2008.350
M3 - Conference contribution
AN - SCOPUS:52449096928
SN - 9780769531618
T3 - 3rd International Conference on Innovative Computing Information and Control, ICICIC'08
BT - 3rd International Conference on Innovative Computing Information and Control, ICICIC'08
T2 - 3rd International Conference on Innovative Computing Information and Control, ICICIC'08
Y2 - 18 June 2008 through 20 June 2008
ER -