Automotive software testing is undergoing a major transformation. While test automation has become standard, creating test cases still requires significant manual effort. At Tracetronic, we leverage AI-driven test automation to change this fundamentally. With an AI-powered assistant, we are already generating test cases automatically and integrating them into existing test workflows. However, this journey comes with challenges: what technical hurdles did we overcome? Where are the current limitations – and what is still possible? In this session, we will showcase how AI-driven test case generation works in practice and provide insights into the future potential of AI in software testing.

• How to use an AI assistant to create test cases
• Technical and organizational hurdles in integrating AI into test automation
• Why AI not only improves efficiency but also enhances quality
• A glimpse of what is possible in the near future