The 6th IEEE International Conference on Artificial Intelligence Testing (AITEST 2024) covers topics such as:
• 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