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首页> 外文期刊>IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems >Automatic test vector cultivation for sequential VLSI circuits using genetic algorithms
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Automatic test vector cultivation for sequential VLSI circuits using genetic algorithms

机译:利用遗传算法对顺序VLSI电路进行自动测试向量培养

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摘要

This paper discusses a new approach for generating test vectors, using test cultivation, for both combinational and sequential VLSI circuits described hierarchically at the transistor, gate, and higher levels. The approach is based on continuous mutation of a given input sequence and on analyzing the mutated vectors for selecting the test set. The hierarchical technique used in the analysis drastically reduces the memory requirements, allowing test generation for large circuits. The test cultivation algorithms are simulation-based and a test set can be cultivated for any circuit that can be simulated logically. In particular, general MOS digital designs can be handled, and both stuck-at and transistor faults can be accurately modeled. Using the approach, tests were generated with very high fault coverage for gate-level circuits as well as for transistor level circuits.
机译:本文讨论了一种新的方法,该方法利用测试修养针对在晶体管,栅极和更高层进行了分层描述的组合和顺序VLSI电路,生成了测试向量。该方法基于给定输入序列的连续突变,并且基于分析突变的向量以选择测试集。分析中使用的分层技术极大地降低了内存需求,从而允许生成大型电路的测试。测试培养算法是基于仿真的,并且可以为可以进行逻辑仿真的任何电路培养测试集。特别是,可以处理一般的MOS数字设计,并且可以准确地模拟卡住和晶体管故障。使用该方法,生成的测试对栅极级电路和晶体管级电路具有很高的故障覆盖率。

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