adaptive testing

**Adaptive testing** is **test strategies that adjust pattern depth and measurements based on real-time device or lot behavior** - Decision logic uses early-test indicators to branch into targeted additional screening where risk is higher. **What Is Adaptive testing?** - **Definition**: Test strategies that adjust pattern depth and measurements based on real-time device or lot behavior. - **Core Mechanism**: Decision logic uses early-test indicators to branch into targeted additional screening where risk is higher. - **Operational Scope**: It is applied in semiconductor yield and failure-analysis programs to improve defect visibility, repair effectiveness, and production reliability. - **Failure Modes**: Poor decision thresholds can either miss defects or add unnecessary test cost. **Why Adaptive testing Matters** - **Defect Control**: Better diagnostics and repair methods reduce latent failure risk and field escapes. - **Yield Performance**: Focused learning and prediction improve ramp efficiency and final output quality. - **Operational Efficiency**: Adaptive and calibrated workflows reduce unnecessary test cost and debug latency. - **Risk Reduction**: Structured evidence linking test and FA results improves corrective-action precision. - **Scalable Manufacturing**: Robust methods support repeatable outcomes across tools, lots, and product families. **How It Is Used in Practice** - **Method Selection**: Choose techniques by defect type, access method, throughput target, and reliability objective. - **Calibration**: Calibrate branch rules with historical escapes and overkill data before deployment. - **Validation**: Track yield, escape rate, localization precision, and corrective-action closure effectiveness over time. Adaptive testing is **a high-impact lever for dependable semiconductor quality and yield execution** - It improves test efficiency while preserving quality targets.