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Synergy of Large Language Model and Model Driven Engineering for Automated Development of Centralized Vehicular Systems

arXiv 2404.05508 ↗First posted 8 Apr 2024cs.SE cs.AI cs.CLcited by 7

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Abstract (arXiv)

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.

Key facts. Cited by 7 papers in the map (data through 7 Oct 2026). Builds on 1 of its 14 references that are in the map. First posted on arXiv 8 Apr 2024.

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1 of 14 references.

References · 1

  1. 2024Towards Single-System Illusion in Software-Defined Vehicles -- Automated, AI-Powered Workflowcited by 3

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Citing papers per year: 2024: 1; 2025: 6.

7 papers.