Event-driven Modeling

Event-Driven Modeling is a discrete-event system modeling paradigm in which system behavior is formally represented as a sequence of instantaneous occurrences, or events, that asynchronously change the state of the system, thereby distinguishing it from time-driven or continuous modeling approaches by its reliance on event causality and temporal irregularity.

111

Publications

4.2K

Citations

321

Authors

149

Institutions

Publications per year

2017–2026

23

Authors

321

  1. BP
    Bernard P. Zeigler

    University of Arizona, United States

    4 publications · 233 citations

    4

    h-index

  2. JM
    Joanne M. Atlee

    University of Waterloo, Canada

    3 publications · 266 citations

    3

    h-index

  3. JD
    John D. Gannon

    University of Maryland, College Park, United States

    3 publications · 266 citations

    3

    h-index

  4. PČ
    Pavol Černý

    University of Colorado Boulder, United States

    2 publications · 49 citations

    2

    h-index

  5. RA
    Raymond A. DeCarlo

    Purdue University West Lafayette, United States

    2 publications · 57 citations

    2

    h-index

1–5 of 321

Venues

  1. 3

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  2. 2

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  3. IEEE Transactions on Software Engineering

    TSE · 2 publications · 710 citations

    2

    h-index

  4. Simulation Modelling Practice and Theory

    2 publications · 69 citations

    2

    h-index

  5. SNE Simulation Notes Europe

    2 publications · 36 citations

    2

    h-index

1–5