Software‑defined vehicles significantly increase the number of test cases, software variants, and integration cycles required during validation. While HIL systems are widely used, many organizations struggle to scale beyond isolated benches, leading to long execution times and bottlenecks in development programs. This presentation examines how HIL validation can evolve from standalone setups to scalable test farms capable of parallel execution and continuous testing. It will highlight common scalability challenges and discuss architectural and workflow considerations that enable higher throughput, improved reuse, and more efficient validation across large and complex SDV programs.

• Identify the limitations of traditional, single‑bench HIL setups in SDV programs
• Learn what it takes to scale HIL validation across multiple benches or test farms
• Understand how parallel execution can reduce validation time and improve throughput
• Gain practical perspectives on building HIL environments that grow with program complexity
• How to build time‑synced, data‑driven validation