Test compaction by test cube merging for four-way bridging faults

I. Pomeranz
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引用次数: 2

Abstract

Test compaction that accommodates the constraints of test data compression can be achieved by generating test cubes for target faults, and then merging the test cubes. This paper describes an improved test cube merging procedure for four-way bridging faults. The procedure is motivated by the prevalence of bridging defects and the fact that test sets for bridging faults are larger than test sets for single stuck-at faults. A four-way bridging fault gi/ai/hi models the case where a value ai of a line hi dominates the value of a line gi. A basic test cube merging procedure considers a set of test cubes Cdet that detects target faults. The paper extends the set of test cubes to include, in addition to Cdet, a set of test cubes Cdom that assign values to dominating lines. Test cubes from Cdom have significantly fewer specified values than test cubes from Cdet. When test cubes from Cdom are merged with test cubes from Cdet, each resulting test cube detects more faults, and fewer test cubes are needed for detecting the same set of target faults.
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通过测试立方体合并来测试四路桥接故障的压实
通过为目标错误生成测试数据集,然后合并测试数据集,可以实现适应测试数据压缩约束的测试压缩。本文介绍了一种改进的四路桥接故障测试立方体合并程序。该过程的动机是桥接缺陷的普遍存在,以及桥接故障的测试集比单个卡在故障的测试集大这一事实。四路桥接故障gi/ai/hi模拟了线路hi的值ai支配线路gi的值的情况。基本的测试多维数据集合并过程考虑检测目标错误的一组测试多维数据集Cdet。本文扩展了测试数据集,除了Cdet之外,还包括一组将值赋给支配线的测试数据集Cdom。来自Cdom的测试多维数据集的指定值明显少于来自Cdet的测试多维数据集。当来自Cdom的测试多维数据集与来自Cdet的测试多维数据集合并时,每个生成的测试多维数据集都会检测到更多的错误,而检测同一组目标错误所需的测试多维数据集则更少。
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