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Study on Automatic Test Generation of Digital Circuits Using Particle Swarm Optimization

机译:用粒子群优化研究数字电路自动试验生成研究

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The development of digital integrated circuit has put forward urgent demands for test technology. Test technology has become a bottleneck in the application of LSI/VLSI. Especially for sequential circuits, it is still a problem which is not resolved completely in theory. By making use of the structure information of circuits, a method of automatic test generation for sequential circuits based on Particle swarm optimization is presented, which is performed by two steps, initialization and fault detection. Experimental results show that the approach can achieve high fault coverage, and CPU times needed for test generations are very short, which shows that it is a method deserving research.
机译:数字集成电路的发展提出了对测试技术的紧急需求。测试技术已成为LSI / VLSI应用中的瓶颈。特别是对于顺序电路,仍然是一个问题,这在理论上没有完全解决。通过利用电路的结构信息,提出了一种基于粒子群优化的顺序电路的自动测试生成方法,由两个步骤,初始化和故障检测执行。实验结果表明,该方法可以实现高故障覆盖率,测试代所需的CPU次数非常短,这表明它是一种值得研究的方法。

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