91 citations · 114 across the 13 of their papers we have counts for
15 papers
An Extensive Empirical Study on Evaluation Metrics for Combinatorial Interaction Testing
Lisha Qin, Chenhui Cui, Tao Li +3
Combinatorial interaction testing (CIT) is a black-box testing method that has received extensive attention in both research and practice over recent years. Its primary objective i…
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…
Repository-Level Solidity Code Generation with Large Language Models: From Prompting to Fine-Tuning
Shi Chen, Rongcun Wang, Yuan Tian +3
Large Language Models (LLMs) have shown strong capabilities in general-purpose code generation, but their effectiveness in specialized software domains remains underexplored. Solid…
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…
Requirements-Based Test Generation: A Comprehensive Survey
Zhenzhen Yang, Rubing Huang, Chenhui Cui +2
As an important way of assuring software quality, software testing generates and executes test cases to identify software failures. Many strategies have been proposed to guide test…
LRASGen: LLM-based RESTful API Specification Generation
Sida Deng, Rubing Huang, Man Zhang +3
REpresentation State Transfer (REST) is an architectural style for designing web applications that enable scalable, stateless communication between clients and servers via common H…
Improving Deep Assertion Generation via Fine-Tuning Retrieval-Augmented Pre-trained Language Models
Quanjun Zhang, Chunrong Fang, Yi Zheng +7
Unit testing validates the correctness of the units of the software system under test and serves as the cornerstone in improving software quality and reliability. To reduce manual…
A Survey on Web Application Testing: Over a Decade of Evolution
Tao Li, Chenhui Cui, Zhengdong Huang +5
As one of the most popular software applications, a web application is a program accessible through the web that dynamically generates content based on user interactions or context…
Ribonucleic-Acid Protein Interaction Prediction Based on Deep Learning: A Comprehensive Survey
Danyu Li, Rubing Huang, Chenhui Cui +4
The interaction between Ribonucleic Acids (RNAs) and proteins, also called RNA Protein Interaction (RPI), governs biological processes, including gene regulation and disease pathog…
LSem2Vec: A Simple yet Effective Two-Stage Approach for Source Code Embedding
Zixiang Xian, Chenhui Cui, Rubing Huang +2
The advent of large language models (LLMs) has significantly advanced artificial intelligence in software engineering, with source code embeddings playing a crucial role in tasks s…
Short-Term Electricity-Load Forecasting by Deep Learning: A Comprehensive Survey
Qi Dong, Rubing Huang, Chenhui Cui +4
Short-Term Electricity-Load Forecasting (STELF) refers to the prediction of the immediate demand (in the next few hours to several days) for the power system. Various external fact…
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…
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…
TransformCode: A Contrastive Learning Framework for Code Embedding via Subtree Transformation
Zixiang Xian, Rubing Huang, Dave Towey +2
Artificial intelligence (AI) has revolutionized software engineering (SE) by enhancing software development efficiency. The advent of pre-trained models (PTMs) leveraging transfer…