Aligning Models with Their Realization through Model-based Systems Engineering
Lovis Justin Immanuel Zenz, Erik Heiland, Peter Hillmann, Andreas, Karcher

TL;DR
This paper introduces a three-step method using model-based systems engineering to align models with their actual implementations, improving Business-IT alignment and ensuring implementations meet business needs.
Contribution
It presents a novel approach combining reference models, scenario-specific models, and integrated run logic to better align system models with real-world implementations.
Findings
Demonstrated on maritime object detection example
Facilitates seamless integration of models and implementation
Enhances Business-IT alignment
Abstract
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…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
Methodstravel james
