91 citations · 111 across the 12 of their papers we have counts for
12 papers · 1 filter
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…
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…
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…
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…
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…
Toward Cost-effective Adaptive Random Testing: An Approximate Nearest Neighbor Approach
Rubing Huang, Chenhui Cui, Junlong Lian +3
Adaptive Random Testing (ART) enhances the testing effectiveness (including fault-detection capability) of Random Testing (RT) by increasing the diversity of the random test cases…
VPP-ART: An Efficient Implementation of Fixed-Size-Candidate-Set Adaptive Random Testing using Vantage Point Partitioning
Rubing Huang, Chenhui Cui, Dave Towey +2
Adaptive Random Testing (ART) is an enhancement of Random Testing (RT), and aims to improve the RT failure-detection effectiveness by distributing test cases more evenly in the inp…