most citedLarge Language Models for Mobile GUI Text Input Generation: An Empirical Study

4 citations · 4 across the 4 of their papers we have counts for

collaborators

5 papers

cs.SE2026

LLM-Assisted Model-Based GUI Testing for Vue.js Web Applications

Tao Li, Chenhui Cui, Rubing Huang +3

Vue.js is a popular framework for building modern web applications. As Vue.js functionality and tooling support grow, ensuring its reliability (through automated testing) is becomi…

cs.SE2026

ATGBuilder: Feature-Assisted Graph Learning for Activity Transition Graph Construction with Seed Supervision

Chenhui Cui, Zixiang Xian, Danyu Li +5

Android applications are organized around activities that provide visual Graphical User Interface (GUI) containers that host the UI and handle user interaction events. Activity Tra…

cs.SE2026

LLMCFG-TGen: Using LLM-Generated Control Flow Graphs to Automatically Create Test Cases from Use Cases

Zhenzhen Yang, Chenhui Cui, Tao Li +4

Appropriate test-case generation is critical in software testing and significantly impacts testing quality. Requirements-Based Test Generation (RBTG) derives test cases from softwa…

cs.SE20264 cited

Large Language Models for Mobile GUI Text Input Generation: An Empirical Study

Chenhui Cui, Tao Li, Junjie Wang +3

Mobile apps have become essential, making quality assurance increasingly important. GUI testing is widely used for automated exploration, yet text-input components remain a major o…

cs.SE2025

Large Language Models for Automated Web-Form-Test Generation: An Empirical Study

Tao Li, Chenhui Cui, Rubing Huang +2

Testing web forms is an essential activity for ensuring the quality of web applications. It typically involves evaluating the interactions between users and forms. Automated test-c…