A Statistic-Based Approach to Testability Analysis

This paper presents a statistic-based approach for evaluating the testability of nodes in combinational circuits. This testability measurement is obtained via Monte Carlo simulation governed by the formulated Monte Carlo model. The Monte Carlo simulation is terminated when the predefined error with respect to the Monte Carlo model, under a specified confidence level, is achieved. We conduct the experiments on a set of ISCAS ´85 and MCNC benchmarks. As compared with previous work, our approach more efficiently evaluates the testability with less error rate.