In this study, the Enriched Robustness Diagram with Loop and Time Controls (ERDLT) is proposed as an improvement to the existing multidimensional workflow, Robustness Diagram with Loop and Time Controls (RDLT). Both models support modeling of complex systems while representing all three workflow dimensions. However, expressing multilevel and hierarchical associations, as well as mutually exclusive paths for process control and multi-module interactions, have not yet been explored in the context of RDLT modeling. By the proposed ERDLT, we address this limitation to better capture and express explicitly the structure and behavior of the system. This study accomplishes this by having a wider set of robustness stereotypes in ERDLTs compared to RDLTs. Such a set provides better flexibility in creating RDLT models, which are easier to understand and support representation of more details in the overall behavior of complex systems. Lastly, we demonstrate the aforementioned capabilities of ERDLTs in modeling various real-world systems with inherently complex structures and behaviors.

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Enriched Robustness Diagram with Loop and Time Controls for Scalable Model Representation

  • Edu S. Petilos,
  • Jasmine A. Malinao

摘要

In this study, the Enriched Robustness Diagram with Loop and Time Controls (ERDLT) is proposed as an improvement to the existing multidimensional workflow, Robustness Diagram with Loop and Time Controls (RDLT). Both models support modeling of complex systems while representing all three workflow dimensions. However, expressing multilevel and hierarchical associations, as well as mutually exclusive paths for process control and multi-module interactions, have not yet been explored in the context of RDLT modeling. By the proposed ERDLT, we address this limitation to better capture and express explicitly the structure and behavior of the system. This study accomplishes this by having a wider set of robustness stereotypes in ERDLTs compared to RDLTs. Such a set provides better flexibility in creating RDLT models, which are easier to understand and support representation of more details in the overall behavior of complex systems. Lastly, we demonstrate the aforementioned capabilities of ERDLTs in modeling various real-world systems with inherently complex structures and behaviors.