Across the semiconductor industry we continue to see increased device complexity, new measurement requirementsand pressure to get to market quicker - and with reduced average selling prices (ASPs) too. New applications, such as 5G and WiFi-7, are introducing new measurement requirements, while mission critical applications, such as autonomous vehicles, are driving the need for higher levels of product quality, requiring more test coverage and more performance data. Simply put, validation and test organizations are being pulled in many directions at once – they need to get to market faster, while addressing new measurement requirements and improving overall product quality. It is quite a challenging environment, but it is not without itssolutions.
Post-silicon validation is a crucial phase of the semiconductor lifecycle and can also represent significant cost and schedule risk if not managed effectively. Unfortunately, the time allocated for validation and characterization is often compressed because of design delays. And in the end, chipmakers that get to market first gain market share and the ones that get to market late get stuck playing catch-up. But speed cannot come at the sake of quality, because missing a bug could lead to severe ramifications, such as increased product returns, lost sockets, or even damage to brand reputation.
Semiconductor companies are faced with the challenge of striking a precarious balance between releasing products quickly and ensuring product quality. The solution starts with evolving lab practices to improve efficiency and speed. “Using traditional approaches, significant time and effort is wasted when engineers across different teams re-create software that they could have reused had it been standardized”