ASE 2024
Sun 27 October - Fri 1 November 2024 Sacramento, California, United States

This program is tentative and subject to change.

Tue 29 Oct 2024 16:15 - 16:25 at Camellia - Code generation 1

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.

This program is tentative and subject to change.

Tue 29 Oct

Displayed time zone: Pacific Time (US & Canada) change

15:30 - 16:30
15:30
15m
Talk
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
15m
Talk
Contextualized Data-Wrangling Code Generation in Computational Notebooks
Research Papers
Junjie Huang The Chinese University of Hong Kong, Daya Guo Sun-yat Sen University, Chenglong Wang Microsoft Research, Jiazhen Gu Chinese University of Hong Kong, Shuai Lu Microsoft Research, Jeevana Priya Inala Microsoft Research, Cong Yan Microsoft Research, Jianfeng Gao Microsoft Research, Nan Duan Microsoft Research, Michael Lyu The Chinese University of Hong Kong
16:00
15m
Talk
Self-collaboration Code Generation via ChatGPT
Journal-first Papers
Yihong Dong Peking University, Xue Jiang , Zhi Jin Peking University, Ge Li Peking University
16:15
10m
Talk
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