基于边界扫描技术的抗混淆自适应测试算法

Anti-Confounding Adaptive Test Algorithm Based on Boundary Scan Test Technology

针对现有边界扫描测试快速测试算法存在征兆混淆现象的问题,在深入分析多种测试算法的基础上,提出一种抗混淆的自适应测试算法。首先,通过分析走步算法的特点,给出一种走步算法的改进方案。该方案在保证算法完备性指标不变的情况下,提高了算法的紧凑性指标。在此基础上,结合改良计数序列算法,生成抗混淆自适应测试算法。该算法解决了改良计数序列算法存在的征兆混淆问题,极大提高了算法的完备性指标,且紧凑性指标较好。

Based on in-depth analysis of various test algorithms, an optimized and adaptive test algorithm is proposed to solve the symptom-confounding problem of rapid test algorithm in boundary scan testing. First, an improved scheme of walking algorithm is given based on the analysis of characteristics of the walking algorithm. In the case of the same algorithm completeness, this scheme can improve the compart index of the algorithm. And then combined with improved counting sequence algorithm, a anti-confounding adaptive testing algorithm is proposed. This algorithm solves the aliasing problem with the modified counting sequence algorithm, and improves the completeness indicators greatly, while the compact index is good.