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Comparing the Control-Flow of EPC and Petri Net from the End-User Perspective

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Book cover Business Process Management (BPM 2005)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 3649))

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Abstract

This contribution describes the results of a laboratory experiment which compares the Event-driven Process Chain (EPC) and Petri net (C/E net) regarding their approaches to represent the control-flow of processes. The outcome of the experiment indicates that from end-user perspective the EPC approach of applying connectors is superior to the token game. However, the non-local semantic of the EPC OR-connector clearly had a negative impact on end-user comprehension. The experiment also illustrates that the perceived ease-of-use and the intention to use the EPC notation is higher than C/E net.

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Authors and Affiliations

  1. Lehrstuhl für Wirtschaftsinformatik und BWL, ISYM – Information Systems & Management, Johannes Gutenberg-University Mainz, D-55099, Mainz, Germany

    Kamyar Sarshar & Peter Loos

Authors
  1. Kamyar Sarshar
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  2. Peter Loos
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Editor information

Editors and Affiliations

  1. Department of Mathematics and Computer Science, Technical University of Eindhoven, Den Dolech 2, 5612, Eindhoven, AZ, The Netherlands

    Wil M. P. van der Aalst

  2. CSE, University of New South Wales, Australia

    Boualem Benatallah

  3. Department of Information Engineering and Computer Science, University of Trento, Italy

    Fabio Casati

  4. IBM T.J. Watson Research Center, NY 10532, Hawthorne, USA

    Francisco Curbera

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© 2005 Springer-Verlag Berlin Heidelberg

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Sarshar, K., Loos, P. (2005). Comparing the Control-Flow of EPC and Petri Net from the End-User Perspective. In: van der Aalst, W.M.P., Benatallah, B., Casati, F., Curbera, F. (eds) Business Process Management. BPM 2005. Lecture Notes in Computer Science, vol 3649. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11538394_36

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  • DOI: https://doi.org/10.1007/11538394_36

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-28238-9

  • Online ISBN: 978-3-540-31929-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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