41 citations · 143 across the 20 of their papers we have counts for
4 papers · 1 filter
Towards Human-AI Synergy in UI Design: Supporting Iterative Generation with LLMs
Mingyue Yuan, Jieshan Chen, Yongquan Hu +5
In automated UI design generation, a key challenge is the lack of support for iterative processes, as most systems focus solely on end-to-end output. This stems from limited capabi…
Enabling Cost-Effective UI Automation Testing with Retrieval-Based LLMs: A Case Study in WeChat
Sidong Feng, Haochuan Lu, Jianqin Jiang +6
UI automation tests play a crucial role in ensuring the quality of mobile applications. Despite the growing popularity of machine learning techniques to generate these tests, they…
Feedback-Driven Automated Whole Bug Report Reproduction for Android Apps
Dingbang Wang, Yu Zhao, Sidong Feng +6
In software development, bug report reproduction is a challenging task. This paper introduces ReBL, a novel feedback-driven approach that leverages GPT-4, a large-scale language mo…
MUD: Towards a Large-Scale and Noise-Filtered UI Dataset for Modern Style UI Modeling
Sidong Feng, Suyu Ma, Han Wang +2
The importance of computational modeling of mobile user interfaces (UIs) is undeniable. However, these require a high-quality UI dataset. Existing datasets are often outdated, coll…