Sven Apel

The Impact of Software Model Slicing on Software Model Completion with Large Language Models

The results show that appropriate model slicing significantly improves completion correctness while simultaneously reducing token usage across several structural and semantic evaluation metrics, and establish model slicing as a key factor in LLM-based model completion and provide guidance for effective context selection for other modeling tasks.