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International Conference on Business Process Management

BPM 2022: Business Process Management pp 27–33Cite as

Multi-dimensional Process Analysis

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Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 13420))

Abstract

Processes are complex phenomena that emerge from the interplay of human actors, materials, data, and machines. Process science develops effective methods and techniques for studying and improving processes. The BPM field has developed mature methods and techniques for studying and improving process executions from the control-flow perspective, and the limitations of control-flow focused thinking are well-known. Current research explores concepts from related disciplines to study behavioral phenomena “beyond” control-flow. However, it remains challenging to relate models and concepts of other behavioral phenomena to the dominant control-flow oriented paradigm.

This tutorial introduces several recently developed simple models that naturally describe behavior beyond control-flow, but are inherently compatible with control-flow oriented thinking. We discuss the Performance Spectrum to study performance patterns and their propagation over time, Event Knowledge Graphs to study networks of behavior over data objects and actors, and Proclets as a formal model for reasoning over control-flow, data object, queue and actor behavior. For each model, we discuss which phenomena can be studied, which insights can be gained, which tools are available, and to which other fields they relate.

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Author information

Authors and Affiliations

  1. Eindhoven University of Technology, Eindhoven, The Netherlands

    Dirk Fahland

Authors
  1. Dirk Fahland
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Correspondence to Dirk Fahland .

Editor information

Editors and Affiliations

  1. Sapienza University of Rome, Rome, Italy

    Claudio Di Ciccio

  2. Eindhoven University of Technology, Eindhoven, The Netherlands

    Remco Dijkman

  3. Universidad de Sevilla, Seville, Spain

    Adela del Río Ortega

  4. Technical University of Munich, Garching, Germany

    Stefanie Rinderle-Ma

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Fahland, D. (2022). Multi-dimensional Process Analysis. In: Di Ciccio, C., Dijkman, R., del Río Ortega, A., Rinderle-Ma, S. (eds) Business Process Management. BPM 2022. Lecture Notes in Computer Science, vol 13420. Springer, Cham. https://doi.org/10.1007/978-3-031-16103-2_3

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  • DOI: https://doi.org/10.1007/978-3-031-16103-2_3

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-16102-5

  • Online ISBN: 978-3-031-16103-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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