Synergy of Large Language Model and Model Driven Engineering for Automated Development of Centralized Vehicular Systems
This work addresses automation challenges in the automotive industry, but it is incremental as it builds on existing MDE and LLM techniques.
The authors tackled automating software development for automotive systems by combining model-driven engineering with large language models to translate textual requirements into code, achieving a functional prototype tested in a simulated emergency brake scenario.
We present a prototype of a tool leveraging the synergy of model driven engineering (MDE) and Large Language Models (LLM) for the purpose of software development process automation in the automotive industry. In this approach, the user-provided input is free form textual requirements, which are first translated to Ecore model instance representation using an LLM, which is afterwards checked for consistency using Object Constraint Language (OCL) rules. After successful consistency check, the model instance is fed as input to another LLM for the purpose of code generation. The generated code is evaluated in a simulated environment using CARLA simulator connected to an example centralized vehicle architecture, in an emergency brake scenario.