A Journey to AI-powered testing in embedded systems

The world of automotive software testing is becoming increasingly complex. As vehicles rely more and more on software. Automation testing tools are essential for verifying embedded systems, but writing test cases remains a time-consuming and manual task. At tracetronic, we're tackling this challenge head-on with a new approach: AI-powered test case generation.

In this session, we’ll take you behind the scenes of our development process: How did we build this AI-powered assistant? Together with our research partners at Fraunhofer Institute IIS/EAS, we’ll highlight the importance of establishing evaluation methods for developing new AI systems. Join us to explore how AI is redefining the way we test embedded software – faster, smarter, and more efficient than ever before.

Problems addressed:
Ensuring that AI‑generated test cases for safety‑critical embedded software are trustworthy and meet quality standards such as correctness, completeness, stability, and syntactic and semantic validity

Unlike many existing approaches that rely on static templates or external model descriptions, our assistant generates executable and context-aware test cases.

Talk language: English
Level: Advanced
Target group: Test Engineers, Embedded‑Software Developers, AI/ML Engineers

Company:
tracetronic GmbH

Dipl.-Inf. Patrick Stiller