The master thesis will focus on applying, evaluating, and improving an existing MBSE Copilot solution within a real-world engineering context. The tasks are:
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Analyze Copilot capabilities for supporting MBSE workflows, including requirement handling and model generation
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Conduct a case study using representative MBSE artifacts (e.g., SysML models, requirement documents) to assess tool performance
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Perform user testing to evaluate usability, efficiency gains, and acceptance among engineers
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Investigate input quality and segmentation strategies for large-scale requirements (e.g., 600+ pages) to ensure meaningful Copilot output
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Benchmark Copilot performance against traditional manual MBSE processes to determine effectiveness and identify improvement areas
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Document findings and propose enhancements for better integration of AI copilots in MBSE lifecycles
