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Webinar: ASPICE in Two Weeks: How AI Transforms Embedded QA

Qt Group provides an integrated Quality Assurance (QA) solution to one of the world’s largest automotive suppliers, enabling full compliance with industry standards, significantly increasing test coverage, automating code architecture verification, and reducing release QA cycles from several months to less than two weeks.

This solution combines advanced code analysis with required qualification processes and includes testing for emerging requirements such as CUDA-based code. By incorporating AI into the QA cycle, the system achieves near-complete code coverage in record time through a closed-loop approach that validates testing effectiveness using coverage analysis.

As AI technologies mature, their role in QA will evolve from passive assistance to active collaboration. This shift will require not only technical innovation but also cultural and procedural transformation within development teams.

What You'll Learn:

How an integrated QA approach reduced release cycles from months to under two weeks
The closed-loop method: using coverage analysis to validate and optimize test effectiveness
Practical strategies for achieving near-complete code coverage with AI-driven automation
How to prepare your team for AI's evolving role from tool to collaborator

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