标题： 面向汽车软件开发的生成式人工智能综述：从需求到可执行代码 显示英文标题

标题： Survey of GenAI for Automotive Software Development: From Requirements to Executable Code

摘要： 采用先进的生成式人工智能（GenAI）旨在通过减少所需的人工干预和处理复杂底层流程的努力，彻底改变许多工业领域。 汽车软件开发被认为是一个重要的GenAI应用领域，考虑到其漫长的和昂贵的流程，这是由需求量大和严格的标准化导致的。 在本文中，我们探讨了GenAI在汽车软件开发各个步骤中的应用，主要集中在需求处理、合规性方面和代码生成。 在现有技术中涵盖了三种与GenAI相关的技术：大型语言模型（LLMs）、检索增强生成（RAG）、视觉语言模型（VLMs），以及在代码生成情况下的采用提示技术的概述。 此外，我们还基于本次文献综述的研究结果，推导出一个通用的GenAI辅助的汽车软件开发工作流程。 最后，我们包括了一项调查结果的总结，该调查是在我们的汽车行业合作伙伴中进行的，涉及他们日常工作中使用的GenAI工具类型。 显示英文摘要

摘要： Adoption of state-of-art Generative Artificial Intelligence (GenAI) aims to revolutionize many industrial areas by reducing the amount of human intervention needed and effort for handling complex underlying processes. Automotive software development is considered to be a significant area for GenAI adoption, taking into account lengthy and expensive procedures, resulting from the amount of requirements and strict standardization. In this paper, we explore the adoption of GenAI for various steps of automotive software development, mainly focusing on requirements handling, compliance aspects and code generation. Three GenAI-related technologies are covered within the state-of-art: Large Language Models (LLMs), Retrieval Augmented Generation (RAG), Vision Language Models (VLMs), as well as overview of adopted prompting techniques in case of code generation. Additionally, we also derive a generalized GenAI-aided automotive software development workflow based on our findings from this literature review. Finally, we include a summary of a survey outcome, which was conducted among our automotive industry partners regarding the type of GenAI tools used for their daily work activities.