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Navigating the growing field of research on AI for software testing -- the taxonomy for AI-augmented software testing and an ontology-driven literature survey
IntenTest: Stress Testing for Intent Integrity in API-Calling LLM Agents
The Impact of Software Testing with Quantum Optimization Meets Machine Learning
EvoGPT: Enhancing Test Suite Robustness via LLM-Based Generation and Genetic Optimization
On the Need for a Statistical Foundation in Scenario-Based Testing of Autonomous Vehicles
Automated Unit Test Case Generation: A Systematic Literature Review
Test It Before You Trust It: Applying Software Testing for Trustworthy In-context Learning
Harden and Catch for Just-in-Time Assured LLM-Based Software Testing: Open Research Challenges
Expectations vs Reality -- A Secondary Study on AI Adoption in Software Testing
From Code Generation to Software Testing: AI Copilot with Context-Based RAG
Towards Trustworthy GUI Agents: A Survey
Integrating Artificial Intelligence with Human Expertise: An In-depth Analysis of ChatGPT's Capabilities in Generating Metamorphic Relations
Vulnerability Detection: From Formal Verification to Large Language Models and Hybrid Approaches: A Comprehensive Overview
Rule-Guided Reinforcement Learning Policy Evaluation and Improvement
ToolFuzz -- Automated Agent Tool Testing
WIP: Assessing the Effectiveness of ChatGPT in Preparatory Testing Activities
Towards Reliable LLM-Driven Fuzz Testing: Vision and Road Ahead
CLOVER: A Test Case Generation Benchmark with Coverage, Long-Context, and Verification
Identifying Flaky Tests in Quantum Code: A Machine Learning Approach
A Systematic Approach for Assessing Large Language Models' Test Case Generation Capability
Toward Neurosymbolic Program Comprehension
Assessing Data Augmentation-Induced Bias in Training and Testing of Machine Learning Models
Many-Objective Neuroevolution for Testing Games
An efficient approach to represent enterprise web application structure using Large Language Model in the service of Intelligent Quality Engineering
The Potential of LLMs in Automating Software Testing: From Generation to Reporting
Design choices made by LLM-based test generators prevent them from finding bugs
Reinforcement Learning from Automatic Feedback for High-Quality Unit Test Generation
CPP-UT-Bench: Can LLMs Write Complex Unit Tests in C++?
Software testing for project report.
VALTEST: Automated Validation of Language Model Generated Test Cases
Can Search-Based Testing with Pareto Optimization Effectively Cover Failure-Revealing Test Inputs?
TAEGAN: Generating Synthetic Tabular Data For Data Augmentation
On the Effectiveness of LLMs for Manual Test Verifications
Computer Vision Intelligence Test Modeling and Generation: A Case Study on Smart OCR
Exploring the Integration of Large Language Models in Industrial Test Maintenance Processes
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