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The rise of electrification, ADAS and software-defined architectures is dramatically increasing the complexity of vehicle development. Traditional engineering models are struggling to keep pace, leading to disconnected workflows, fragmented data, and late-stage issues that drive up costs and delay market entry.

 

To address these challenges, this white paper introduces Smart Testing, a more connected and practical approach to vehicle development. This framework brings simulation and physical testing together in a continuous, closed-loop workflow built on three key pillars: integrated virtual and physical testing, unified data management, and AI-driven insights. By connecting tools, workflows, and data across the development process, Smart Testing provides a scalable approach for automotive OEMs and suppliers to move faster, reduce risk, and improve product quality.

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