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Title : GenAI for Automotive Software Development: From Requirements to Wheels

Author : B.Sowjanya, Ameena nasreen, Sd Parveen

Abstract :

This paper introduces a GenAI-empowered approach to au- tomated development of automotive software, with emphasis on autonomous and Advanced Driver Assistance Systems (ADAS) capabilities. The pro- cess starts with requirements as input, while the main generated out- puts are test scenario code for simulation environment, together with implementation of desired ADAS capabilities targeting hardware plat- form of the vehicle connected to testbench. Moreover, we introduce ad- ditional steps for requirements consistency checking leveraging Model- Driven Engineering (MDE). In the proposed workflow, Large Language Models (LLMs) are used for model-based summarization of requirements (Ecore metamodel, XMI model instance and OCL constraint creation), test scenario generation, simulation code (Python) and target platform code generation (C++). Additionally, Retrieval Augmented Generation (RAG) is adopted to enhance test scenario generation from autonomous driving regulations-related documents. Ou

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International Journal of Engineering Research & Informatics (IJERI)
E-ISSN: 2348-6481

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