7th IEEE International Conference on Artificial Intelligence Testing (AITEST 2025)

Topics

• Methodologies for testing, verification and validation of AI applications
• Testing AI applications
• Tools and environment for automated and semi-automated software testing AI applications for various testing activities and management of testing resources
• Techniques for testing AI applications
• Applications of AI techniques to software testing
• Specific concerns of software testing with various specific types of AI technologies and AI applications
• Constraint Programming for test case generation and test suite reduction
• Machine learning applications to software testing, such as test case generation, test effectiveness prediction and optimization, test adequacy improvement, test cost reduction, etc
• Crowdsourcing and swarm intelligence in software testing
• Constraint Scheduling and Optimization for test case prioritization and test execution scheduling
• Data quality evaluation for AI applications
• Genetic algorithms, search-based techniques and heuristics to optimization of testing
• Quality assurance for unstructured training data
• Automatic data validation tools
• Techniques for testing deep neural network learning, reinforcement learning and graph learning
• Large-scale unstructured data quality certification