- 15 Oct, 2025
- 0 Comments
- 3 Mins Read
How Generative AI is Putting Schaeffler’s Software Testing on the Fast Track
In the fast-evolving world of automotive technology, where electrification, autonomous driving, and software-defined vehicles (SDVs) are reshaping the industry, Schaeffler—a global leader in motion technology—is accelerating innovation through generative AI. In partnership with AWS, Schaeffler is transforming its software testing workflows, dramatically reducing time and effort while enhancing quality and precision.
The Challenge: Complexity in Automotive Software Testing
Modern vehicles are powered by millions of lines of code and thousands of system requirements. Testing these systems is a monumental task. For example, validating 837 system requirements traditionally took Schaeffler engineers around 820 hours—a staggering 1.02 hours per test case. Multiply that by the scale of SDVs, and the effort balloons to over 100,000 hours.
Test engineers face challenges such as:
- Unstructured and unreadable requirement formats
- Manual test case generation prone to human error
- Difficulty mapping test cases back to requirements
- Compliance with rigorous standards like ISO 29148 and ISO 29119
The Solution: Virtual Engineering Workbench (VEW) + Generative AI
Schaeffler’s answer lies in the Virtual Engineering Workbench (VEW), a framework powered by AWS services and generative AI. This platform automates and streamlines the entire test case generation process—from requirement analysis to final test scripts.
Key Use Cases of Generative AI in VEW:
- Requirement Translation & Explanation: AI interprets complex, text-heavy requirements into human-readable formats.
- Coding Assistance: Embedded developers receive AI-powered support for writing and reviewing code.
- Automated Test Case Generation: AI creates detailed test cases based on structured requirements.
- Intelligent Process Guidance: AI connects development steps, offering a holistic view of the testing workflow.
How It Works
Schaeffler and AWS built a generative AI gateway using Amazon Bedrock and LiteLLM, allowing secure access to multiple large language models (LLMs). The VEW platform:
- Converts Excel-based inputs to JSON
- Uses REST APIs to interact with AI models
- Stores session data in Amazon S3 and metadata in DynamoDB
- Publishes events via Amazon EventBridge
- Enables collaborative, stateful test generation sessions
This structured approach ensures traceability, reduces errors, and allows engineers to pause and resume sessions seamlessly.
The Impact: Speed, Accuracy, and Efficiency
The results are game-changing:
- Test case generation time reduced by 60%
- Engineers now spend 265 hours instead of 820 for the same workload
- Human error is minimized through structured AI assistance
- Requirements are validated more reliably
What’s Next?
Schaeffler and AWS plan to integrate VEW with Schaeffler’s testing software to automate requirement exports and test case imports. The vision includes a Generative AI Test Cockpit—a comprehensive assistant guiding engineers through every testing phase.
Final Thoughts
Schaeffler’s journey showcases how generative AI isn’t just a buzzword—it’s a powerful tool reshaping engineering workflows. By embracing AI-driven testing, Schaeffler is not only saving time and resources but also setting a new benchmark for innovation in the automotive industry.
At Learnomate Technologies, we believe in empowering organizations to embrace the future of intelligent automation. Whether you’re building smart mobility solutions, enhancing software reliability, or accelerating product development, generative AI offers a strategic advantage that can’t be ignored.
As we continue to support enterprises in their digital transformation journeys, stories like Schaeffler’s inspire us to push boundaries and deliver solutions that are not only efficient—but visionary.
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