LLM-Driven Approach to Modeling Tool Interoperability in the Automotive Domain

Jul 17, 2026

A new preprint proposes a large language model (LLM)-driven method to automate model interoperability tasks in automotive Model-Driven Engineering. The approach addresses both mapping model instances to target metamodels and merging metamodels, demonstrated using Ecore and SysML v2. Case studies show that the method can reduce manual effort and generate structurally valid target models for cross-tool interoperability.

Why it matters: Automating model transformations with LLMs could streamline development and reduce errors in complex automotive engineering workflows.

Full story at: arXiv Software Engineering ↗