An entropy-based uncertainty measure of process models-Reference-Cited by-同舟云学术

An entropy-based uncertainty measure of process models

Published:2011-01 Issue:3 Volume:111 Page:135-141
ISSN:0020-0190
Container-title:Information Processing Letters
language:en
Short-container-title:Information Processing Letters

Author:

Jung Jae-Yoon,Chin Chang-Ho,Cardoso Jorge

Publisher

Elsevier BV

Subject

Computer Science Applications,Information Systems,Signal Processing,Theoretical Computer Science

Reference13 articles.

1. Measurement in business processes: a systematic review;Gonzalez;Business Process Management Journal,2010

2. I.T.P. Vanderfeesten, H.A. Reijers, J. Mendling, W.M.P. van der Aalst, J. Cardoso, On a quest for good process models: the cross-connectivity metric, in: Proc. of International Conference on Advanced Informatic Systems Engineering, 2008, pp. 480–494.

3. How to measure the control-flow complexity of web processes and workflows;Cardoso,2005

4. Complexity metrics for workflow nets;Rassen;Information and Software Technology,2009

5. J. Mendling, Testing density as a complexity metric for EPCs, Technical report JM-2006-11-15, Vienna University of Economics and Business Administration, 2006.

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