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鉴于传统的可测试性分析算法不能处理重汇聚扇出问题,该文提出了一种有效的评估电路桥接故障可测试性的IDDQ可测试性分析算法。这种算法是基于给电路中每个门施加基本矢量集的概率进行的。开始在原始输入端采用单值标记,通过电路分级和从原始输入端传播标记集可识别重汇聚扇出门,然后采用反向蕴含过程计算重汇聚门基本矢量的概率值,进行重汇聚扇出点的评价。实验结果表明这种算法可获得较精确的可测试性分析结果。
In view of the traditional testability analysis algorithm can not deal with the problem of heavy convergence fan, this paper presents an effective IDDQ testability analysis algorithm to evaluate circuit bridge fault testability. This algorithm is based on the probability of applying a basic vector set to each door in the circuit. Beginning with the use of single-valued markings on the original inputs, circuit classification and propagation of mark sets from the original inputs can be used to identify the reassembly fan out, and then the inverse implication process can be used to calculate the probability values of the re-aggregation gate basic vectors for reassembly fanout evaluation of. Experimental results show that this algorithm can obtain more accurate testability analysis results.