Login
- Titel:
Survey of GenAI for Automotive Software Development: From Requirements to Executable Code
- Dokumenttyp:
- Zeitschriftenaufsatz
- Autor(en):
- Petrovic, Nenad; Zolfaghari, Vahid; Schamschurko, Andre; Kirchner, Sven; Pan, Fengjunjie; Wu, Chengdong; Purschke, Nils; Velsh, Aleksei; Lebioda, Krzysztof; Song, Yinglei; Zhang, Yi; Mazur, Lukasz; Knoll, Alois
- Jahr:
- 2025
- Seitenangaben Beitrag:
- 184-197
- Volltext / DOI:
- doi:10.1109/gaclm67198.2025.11232000
- WWW:
- https://ieeexplore.ieee.org/abstract/document/11232000/
- Hinweise:
- 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 step...
BibTeX