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

Nenad Petrovic, Fengjunjie Pan, Krzysztof Lebioda, Vahid Zolfaghari, Sven Kirchner +4 more
4/8/2024
cs.SEcs.AIcs.CL

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Abstract

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.

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@article{petrovic2024synergy,
  title  = {Synergy of Large Language Model and Model Driven Engineering for Automated Development of Centralized Vehicular Systems},
  author = {Nenad Petrovic and Fengjunjie Pan and Krzysztof Lebioda and Vahid Zolfaghari and Sven Kirchner and Nils Purschke and Muhammad Aqib Khan and Viktor Vorobev and Alois Knoll},
  year   = {2024},
  eprint = {2404.05508},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2404.05508v1}
}

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