As ADAS and autonomous systems and SDV architectures grow more complex, automated continuous testing is already the key for software quality. This session will explore how Tracetronic is leveraging AI and machine learning for a more efficient V&V process, improving test case generation, analyzing large-scale test results and supporting continuous validation, thus allowing engineers to focus on what matters most – building great vehicle software.

• How AI is being applied to accelerate test case generation for complex driving systems
• Ways to automatically analyze large-scale test data to detect anomalies, reduce manual review and improve traceability
• How integrating AI into the V&V process enables engineers to focus on development and innovation