fault coverage

**Fault Coverage** is **the proportion of targeted fault models detected by a given test program** - It quantifies structural test effectiveness and informs residual defect-risk management. **What Is Fault Coverage?** - **Definition**: the proportion of targeted fault models detected by a given test program. - **Core Mechanism**: Detected faults are counted against total modeled faults under ATPG and simulation assumptions. - **Operational Scope**: It is applied in advanced-test-and-probe operations to improve robustness, accountability, and long-term performance outcomes. - **Failure Modes**: High modeled coverage can still mask real-defect gaps if models do not match failure mechanisms. **Why Fault Coverage Matters** - **Outcome Quality**: Better methods improve decision reliability, efficiency, and measurable impact. - **Risk Management**: Structured controls reduce instability, bias loops, and hidden failure modes. - **Operational Efficiency**: Well-calibrated methods lower rework and accelerate learning cycles. - **Strategic Alignment**: Clear metrics connect technical actions to business and sustainability goals. - **Scalable Deployment**: Robust approaches transfer effectively across domains and operating conditions. **How It Is Used in Practice** - **Method Selection**: Choose approaches by measurement fidelity, throughput goals, and process-control constraints. - **Calibration**: Correlate coverage metrics with silicon fallout, RMA data, and defect-level predictions. - **Validation**: Track measurement stability, yield impact, and objective metrics through recurring controlled evaluations. Fault Coverage is **a high-impact method for resilient advanced-test-and-probe execution** - It is a core KPI for test quality governance.