7 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…
A HyperGraphMamba-Based Multichannel Adaptive Model for ncRNA Classification
Xin An, Ruijie Li, Qiao Ning +3
Non-coding RNAs (ncRNAs) play pivotal roles in gene expression regulation and the pathogenesis of various diseases. Accurate classification of ncRNAs is essential for functional an…
Modeling Relational Logic Circuits for And-Inverter Graph Convolutional Network
Weihao Sun, Shikai Guo, Siwen Wang +2
The automation of logic circuit design enhances chip performance, energy efficiency, and reliability, and is widely applied in the field of Electronic Design Automation (EDA).And-I…
SOC-DGL: Social Interaction Behavior Inspired Dual Graph Learning Framework for Drug-Target Interaction Identification
Xiang Zhao, Ruijie Li, Qiao Ning +3
The identification of drug-target interactions (DTI) is critical for drug discovery and repositioning, as it reveals potential therapeutic uses of existing drugs, accelerating deve…