LLM and GraphRAG-Driven DSM Generation for Cyber-Physical Systems
The study explores LLMs and retrieval-augmented generation, including graph-based, for generating design structure matrices. Methods are tested on a power screwdriver and a CubeSat, covering component relationship detection and component identification, with code released for reproducibility.
Why it matters
It shows how to automate architectural dependency mapping of complex technical systems, useful for their digital models.
Relevant to DT products
- Original headline
- Retrieval Augmented (Knowledge Graph), and Large Language Model-Driven Design Structure Matrix (DSM) Generation of Cyber-Physical Systems
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