EDBT 2026 Demo / reviewers in the wild / expert
Zhensheng Xu
dblp:157/0359
· DBLP profile ↗
2ranked-venue papers
0as first author
1since 2021 · last 2024
0009-0007-9717-3192ORCID · reported
Domains — the database's venue-derived domains; a paper can count in several
Software engineering, systems software and programming languages · 2 · 1 since 2021Artificial intelligence and machine learning · 1
Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.
| Software engineering, system software, and programming languages
1 paper |
Requirements engineering and software design · 56% Programming languages and type systems · 44% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Programming languages and type systems
domain-specific languages |
0.8 | 1 | 2024 | Vehicle Domain-Specific Language: Unifying Modeling and Code Generation for Low-Code Automotive Development · ASE 2024 |
Requirements engineering and software design
model-driven engineering |
0.8 | 1 | 2024 | Vehicle Domain-Specific Language: Unifying Modeling and Code Generation for Low-Code Automotive Development · ASE 2024 |
Requirements engineering and software design › model-driven engineering
code generation from models |
0.2 | 1 | 2024 | Vehicle Domain-Specific Language: Unifying Modeling and Code Generation for Low-Code Automotive Development · ASE 2024 |
Methods — techniques the papers use, named apart from their topics
graphical modeling · 0.8code generation · 0.8
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2024 | Vehicle Domain-Specific Language: Unifying Modeling and Code Generation for Low-Code Automotive DevelopmentabstractThe 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 Over-The-Air (OTA) Technology. This work further enhances the practicality of model-based development in the automotive domain, boosting development efficiency and potentially enhancing quality. Junjie Wang 0001, Zhensheng Xu, Fangwen Mu |
ASE | 3 |
| 2014 | Towards Automatic Consistency Checking between Web Application and its Mobile Application
Xiangping Chen, Zhensheng Xu |
SEKE | 2 |