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84 LLM Powered Cyber Physical by SYNCLAIR CANTELOUR is a document available to read on EtoBox.

The document presents a semi-automated method utilizing Large Language Models (LLMs) to extract features from Cyber-Physical Systems (CPS) source code, aiming to improve compliance assessment with legal requirements. The approach addresses the challenges of traceability and abstraction gaps in software engineering by linking source code to a Feature Model specified in the Universal Variability Language (UVL). Preliminary evaluations indicate that while LLMs can identify some features, they often generate in

Author
SYNCLAIR CANTELOUR
Language
EN