HUANG, F., NI, F., LIU, J., YANG, F. und ZHU, J., 2022. A Colored Petri Net Executable Modeling Approach for a Data Flow Well-Structured BPMN Process Model. IEEE Access, Access, IEEE. 1 Januar 2022. Vol. 10, , p. 86696-86709. DOI 10.1109/ACCESS.2022.3198969.
Elsevier - Harvard (with titles)Huang, F., Ni, F., Liu, J., Yang, F., Zhu, J., 2022. A Colored Petri Net Executable Modeling Approach for a Data Flow Well-Structured BPMN Process Model. IEEE Access, Access, IEEE 10, 86696-86709. https://doi.org/10.1109/ACCESS.2022.3198969
American Psychological Association 7th editionHuang, F., Ni, F., Liu, J., Yang, F., & Zhu, J. (2022). A Colored Petri Net Executable Modeling Approach for a Data Flow Well-Structured BPMN Process Model. IEEE Access, Access, IEEE, 10, 86696-86709. https://doi.org/10.1109/ACCESS.2022.3198969
Springer - Basic (author-date)Huang F, Ni F, Liu J, Yang F, Zhu J (2022) A Colored Petri Net Executable Modeling Approach for a Data Flow Well-Structured BPMN Process Model. IEEE Access, Access, IEEE 10:86696-86709. https://doi.org/10.1109/ACCESS.2022.3198969
Juristische Zitierweise (Stüber) (Deutsch)Huang, F./ Ni, F./ Liu, J./ Yang, F./ Zhu, J., A Colored Petri Net Executable Modeling Approach for a Data Flow Well-Structured BPMN Process Model, IEEE Access, Access, IEEE 2022, 86696-86709.