Vehicle Domain-Specific Language: Unifying Modeling and Code Generation for Low-Code Automotive Development
The automotive industry is undergoing rapid growth driven by advancements such as electrification, necessitating efficient software development methodologies. While model-based system engineering is prevalent in automotive software development, its application is typically confined to the requirements and design phases, with manual coding still dominating the development process, resulting in extended development efforts and cycles. To address these challenges, we propose Vehicle Domain-Specific Language (VDSL), a low-code development tool that integrates modeling and automatic code generation. With VDSL, users can simply specify their requirements and utilize graphical drag-and-drop along with parameter configuration to efficiently implement vehicle functionality with auto-generated code. Tested and evaluated on 3 vehicle models across 18 months at GAC Group, VDSL has demonstrated its effectiveness in significantly reducing development effort and costs, improving resource efficiency, and providing greater flexibility for system updates via OTA. This work further enhances the practicality of model-based development in the automotive domain, boosting development efficiency and potentially enhancing product quality.
Tue 29 OctDisplayed time zone: Pacific Time (US & Canada) change
15:30 - 16:30 | Code generation 1Journal-first Papers / Research Papers / Industry Showcase at Camellia Chair(s): Denys Poshyvanyk William & Mary | ||
15:30 15mTalk | AACEGEN: Attention Guided Adversarial Code Example Generation for Deep Code Models Research Papers Zhong Li , Chong Zhang Nanjing University, Minxue Pan Nanjing University, Tian Zhang Nanjing University, Xuandong Li Nanjing University | ||
15:45 15mTalk | Self-collaboration Code Generation via ChatGPT Journal-first Papers | ||
16:00 15mTalk | Vehicle Domain-Specific Language: Unifying Modeling and Code Generation for Low-Code Automotive Development Industry Showcase Lei Liao GAC R&D Center, Junjie Wang Institute of Software at Chinese Academy of Sciences, Zhensheng Xu GAC R&D Center, Fangwen Mu Institute of Software, Chinese Academy of Sciences, Yukun Yang GAC R&D Center | ||
16:15 15mTalk | ComplexCodeEval: A Benchmark for Evaluating Large Code Models on More Complex Code Research Papers jiafeng University of Electronic Science and Technology of China, Jiachen Liu Harbin Institute of Technology, Shenzhen, Cuiyun Gao Harbin Institute of Technology, Chun Yong Chong Huawei, Chaozheng Wang The Chinese University of Hong Kong, Shan Gao Huawei, Xin Xia Huawei Link to publication DOI Pre-print Media Attached |