Übersicht

The increasing complexity of modern development environments presents developers with major challenges: Different tools, proprietary interfaces and inconsistent processes make everyday life in simulation and testing more difficult. This is precisely where the Test Automation SDK comes in. With its standardized, Python-based interface, it simplifies test automation for software-in-the-loop (SIL) and hardware-in-the-loop (HIL) and ensures that developers can focus on the test logic, instead of having to deal with the infrastructure. Whether you are working with VEOS, SCALEXIO, or third-party systems: The SDK integrates seamlessly and makes it easier than ever to get started with efficient, future-proof test processes.

Using a specific use case from the automotive industry ‑ the validation of a vehicle's turn signal ‑ the video shows how engineers can write a single test case and execute it in both SIL and HIL without changing the code. Test Automation SDK handles the detection of available interfaces, configuration management, signal access and execution orchestration, allowing developers to focus on the logic rather than the infrastructure.

The solution integrates seamlessly with existing CI/CD pipelines, Git-based workflows, and modern reporting systems such as Allure. The Test Automation SDK makes AI-supported test case generation easier than ever before: The clearly structured, simplified Python interface reduces uncertainty for AI tools and enables seamless automation. As Python is one of the leading programming languages for artificial intelligence, developers benefit from an optimal environment for efficiently creating and scaling AI-based tests. In addition, the extensible architecture, native Python base, and compatibility with widely used tools allow Test Automation SDK teams to accelerate development, reduce effort, and future-proof their testing processes ‑ especially in areas such as the automotive industry, where safety is essential.