Aligning Models with Their Realization through Model-based Systems Engineering
Zenz, Lovis Justin Immanuel, Heiland, Erik, Hillmann, Peter, Karcher, Andreas
–arXiv.org Artificial Intelligence
In this paper, we propose a method for aligning models with their realization through the application of model-based systems engineering. Our approach is divided into three steps. (1) Firstly, we leverage domain expertise and the Unified Architecture Framework to establish a reference model that fundamentally describes some domain. (2) Subsequently, we instantiate the reference model as specific models tailored to different scenarios within the domain. (3) Finally, we incorporate corresponding run logic directly into both the reference model and the specific models. In total, we thus provide a practical means to ensure that every implementation result is justified by business demand. We demonstrate our approach using the example of maritime object detection as a specific application (specific model / implementation element) of automatic target recognition as a service reoccurring in various forms (reference model element). Our approach facilitates a more seamless integration of models and implementation, fostering enhanced Business-IT alignment.
arXiv.org Artificial Intelligence
Jun-18-2024
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- Europe > Germany
- Bavaria > Upper Bavaria > Munich (0.04)
- North America > United States
- New Jersey > Hudson County
- Hoboken (0.04)
- New York (0.04)
- Pennsylvania (0.04)
- New Jersey > Hudson County
- Europe > Germany
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- Research Report (0.50)
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