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    Item type:Project,
    Smart Views: Intuitive and stakeholder-oriented Views in Model-Based Systems Engineering to Enhance Comprehensibility and Acceptance
    Model-Based Systems Engineering (MBSE) promises significant benefits in product development, particularly by improving collaboration and establishing a “single source of truth.” In practice, however, it becomes evident that many stakeholders outside classical system architecture and modeling roles struggle to understand complex MBSE models. This leads to acceptance issues and limited adoption by interdisciplinary teams. The present research project aims to develop smart views in MBSE that significantly improve comprehensibility and acceptance among diverse stakeholder groups. These views are intended to be characterized by intuitive readability, interactive adaptability, and dynamic visualization. In particular, the project focuses on the use of generative artificial intelligence (GenAI) and SysML v2 to enable adaptive and user-centered visualization of model information. The objective of this research proposal is to develop a coherent framework for the creation and application of smart views in MBSE, capturing the needs, methods, and technologies required for intuitive and stakeholder-appropriate views, thereby increasing the comprehensibility and acceptance of MBSE among relevant stakeholders. The central research question (CRQ) of the project is therefore: “How can GenAI be applied in MBSE to develop smart views that foster increased intuitive comprehensibility and acceptance, and which concerns, requirements, technologies, and methods are essential for this purpose?” To address this question, an interdisciplinary approach is pursued that develops and integrates the individual components of the framework in two iterations.
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