ITEP4SDC at the SBFT 2026 Tool Competition: Self-Driving Car Testing Track

In regression testing, prioritizing fail-revealing test cases within a test suite is crucial for reducing failure detection time. In the context of the Self-Driving Car Testing Tool Competition held at the 19th Search-Based Fuzz and Testing Workshop, we developed a tool named ITEP4SDC. ITEP4SDC prioritizes test cases based on the predicted failure probability of a given road, which is determined by its curvature, angle, and length profiles. By ranking test cases according to their likelihood of failure, ITEP4SDC aims to improve early failure detection in simulation-based testing of self-driving cars.