Test Generation

导航

• 250612_Automated Web Application Testing: End-to-End Test Case Generation with Large Language Models and Screen Transition Graphs
• 250612_Hallucination to Consensus: Multi-Agent LLMs for End-to-End Test Generation with Accurate Oracles
• 250612_On Mutation-Guided Unit Test Generation
• 250612_GenFair: Systematic Test Generation for Fairness Fault Detection in Large Language Models
• 250613_Automated Web Application Testing: End-to-End Test Case Generation with Large Language Models and Screen Transition Graphs
• 250613_On Mutation-Guided Unit Test Generation
• 250613_Can LLMs Generate Reliable Test Case Generators? A Study on Competition-Level Programming Problems
• 250615_Automated Web Application Testing: End-to-End Test Case Generation with Large Language Models and Screen Transition Graphs
• 250615_Hallucination to Consensus: Multi-Agent LLMs for End-to-End Test Generation with Accurate Oracles
• 250615_On Mutation-Guided Unit Test Generation
• 250615_GenFair: Systematic Test Generation for Fairness Fault Detection in Large Language Models
• 250615_CodeContests+: High-Quality Test Case Generation for Competitive Programming
• 250615_Can LLMs Generate Reliable Test Case Generators? A Study on Competition-Level Programming Problems
• 250617_Boosting Rust Unit Test Coverage through Hybrid Program Analysis and Large Language Models
• 250617_Leveraging GPT-4 for Vulnerability-Witnessing Unit Test Generation
• 250617_Can LLMs Generate High-Quality Test Cases for Algorithm Problems? TestCase-Eval: A Systematic Evaluation of Fault Coverage and Exposure