4.6 Article

The Model Fidelity Hierarchy: From Text to Conceptual, Computational, and Executable Model

期刊

IEEE SYSTEMS JOURNAL
卷 15, 期 1, 页码 1287-1298

出版社

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/JSYST.2020.3008857

关键词

Computational modeling; Object oriented modeling; Unified modeling language; Atmospheric modeling; Mathematical model; Error detection; landing gear; model-based systems engineering (MBSE); model execution; model fidelity hierarchy (MFH); software engineering; system modeling

资金

  1. Gordon Center for Systems Engineering at the Technion [2026780]

向作者/读者索取更多资源

Model-based systems engineering utilizes various model types with different accuracy levels, presenting a model fidelity hierarchy. By using the object-process methodology, errors can be detected and corrected through level transitions, providing maximum value with minimal effort. This continuous modeling approach allows for increasingly accurate error detection in the early stages of the system lifecycle, minimizing costs for corrections downstream.
Model-based systems engineering applies a variety of model kinds, each with its own fidelity and exactness level. Based on experience we gained while modeling an aircraft landing gear with the objective of numerically defining its various parameters that fulfill engineering and safety requirements, we present the model fidelity hierarchy (MFH). At this hierarchy's bottom, vaguest level, is spoken language, followed by free written text, conceptual model, its augmentation with computational capabilities, and finally an executable version of that model. Using object-process methodology (OPM ISO 19450) with its computational extension, we present this hierarchy by describing the landing gear model as it progresses through these levels, and the kinds of mistakes revealed while transitioning from one level to the next. The MFH, identified and defined in this article, is made possible by using OPM, which enables these level transitions to be information lossless, providing the most value while requiring the minimal effort. The ability of this continuous, seamless modeling approach to detect errors with increasing accuracy justifies our OPM approach, as errors revealed in this early system lifecycle stage are exponentially less costly to correct than those revealed downstream.

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