11 papers
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…
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…
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…
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…
LLM-Based Static Verification of Code Against Natural-Language Requirements: An Industrial Experience Report
Zhi Quan Zhou, Dave Towey, Tsong Yueh Chen
Large language models (LLMs) are increasingly used to generate requirements specifications, design documents, code, and test cases. In contrast, much less attention has been given…
Short-term electricity load forecasting with multi-frequency reconstruction diffusion
Qi Dong, Rubing Huang, Ling Zhou +3
Diffusion models have emerged as a powerful method in various applications. However, their application to Short-Term Electricity Load Forecasting (STELF) -- a typical scenario in e…