结合符号和遗传技术实现高效的顺序电路测试生成

M. Boschini, X. Yu, F. Fummi, E. Rudnick
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引用次数: 8

摘要

符号和遗传技术结合在一个新的方法来顺序电路测试生成,使用电路分解,而不是在以前的混合测试生成器中使用的算法分解。符号技术用于生成控制逻辑的测试序列,遗传算法用于生成数据路径的序列。与现有的确定性和基于ga的测试生成器相比,组合序列提供了更高的故障覆盖率,并且在许多情况下执行时间显着降低。
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Combining symbolic and genetic techniques for efficient sequential circuit test generation
Symbolic and genetic techniques are combined in a new approach to sequential circuit test generation that uses circuit decomposition, rather than the algorithmic decomposition used in previous hybrid test generators. Symbolic techniques are used to generate test sequences for the control logic, and genetic algorithms are used to generate sequences for the datapath. The combined sequences provide higher fault coverages than those generated by existing deterministic and GA-based test generators, and execution times are significantly lower in many cases.
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