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Application of Business Process Diagrams’ Complexity Management Technique Based on Highlights

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Book cover Enterprise, Business-Process and Information Systems Modeling (BPMDS 2016, EMMSAD 2016)

Part of the book series: Lecture Notes in Business Information Processing ((LNBIP,volume 248))

Abstract

The purpose of business process diagrams is mainly to make the communication between process-related stakeholders more effective. Currently, BPMN (Business Process Model and Notation) is the leader and de-facto standard for business process modeling. However, the notation and their corresponding diagrams have been perceived as complex by many different researchers. Much work was already done in order to manage such complexity by changing or extending the existing BPMN notation. In this paper, we will propose a solution that aims to decrease the complexity of business process diagrams without changing the notation or existing approaches by introducing opacity-driven graphical highlights.

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Author information

Authors and Affiliations

  1. Faculty of Electrical Engineering and Computer Science, University of Maribor, Smetanova 17, 2000, Maribor, Slovenia

    Gregor Jošt & Gregor Polančič

Authors
  1. Gregor Jošt
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  2. Gregor Polančič
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Corresponding author

Correspondence to Gregor Jošt .

Editor information

Editors and Affiliations

  1. Munich University of Applied Scienc, Munich, Germany

    Rainer Schmidt

  2. Luxembourg Inst. of Science & Technology, Esch-sur-Alzette, Luxembourg

    Wided Guédria

  3. Dept. of Computer and Systems Sciences, Stockholm University, Stockholm, Sweden

    Ilia Bider

  4. Univ. Lusófona de Humanidades e Techn., Lisboa, Portugal

    Sérgio Guerreiro

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© 2016 Springer International Publishing Switzerland

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Jošt, G., Polančič, G. (2016). Application of Business Process Diagrams’ Complexity Management Technique Based on Highlights. In: Schmidt, R., Guédria, W., Bider, I., Guerreiro, S. (eds) Enterprise, Business-Process and Information Systems Modeling. BPMDS EMMSAD 2016 2016. Lecture Notes in Business Information Processing, vol 248. Springer, Cham. https://doi.org/10.1007/978-3-319-39429-9_5

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