A fast untestability proof for SAT-based ATPG

Daniel Tille, R. Drechsler
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引用次数: 15

Abstract

Automatic Test Pattern Generation (ATPG) based on Boolean satisfiability (SAT) has been shown to be a beneficial complement to traditional ATPG techniques. SAT solvers work on instances given in Conjunctive Normal Form (CNF). The required transformation of the ATPG problem into CNF is one main part of SAT-based ATPG and needs a significant portion of the overall run time. Solving the SAT instance is the other main part. Here, the time needed is often negligible - especially for easy-to-classify untestable faults. This paper presents a preprocessing technique that speeds up the classification of untestable faults by accelerating the SAT instance generation. This increases the robustness of the entire ATPG process. The efficiency of the proposed method is shown by experiments on large industrial designs.
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基于sat的ATPG的快速不可测性证明
基于布尔可满足性(SAT)的自动测试模式生成(ATPG)已被证明是传统测试模式生成技术的有益补充。SAT求解器在合取范式(CNF)给出的实例上工作。将ATPG问题转换为CNF是基于sat的ATPG的一个主要部分,并且需要占用总体运行时间的很大一部分。解决SAT实例是另一个主要部分。在这里,所需的时间通常可以忽略不计—特别是对于易于分类的不可测试的错误。本文提出了一种预处理技术,通过加速SAT实例的生成来加快不可测试故障的分类速度。这增加了整个ATPG过程的稳健性。大型工业设计的实验证明了该方法的有效性。
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