Based Verification

Based verification focuses on validating complex systems, particularly cyber-physical systems and autonomous vehicles, by comparing their real-world behavior to models. Current research emphasizes automated methods for identifying accurate system models from data, employing techniques like genetic programming and neural networks for efficient test selection and scenario generation to improve simulation-based verification. This approach is crucial for ensuring the safety and reliability of increasingly sophisticated systems, offering significant improvements in testing efficiency and providing valuable insights into system vulnerabilities.