...
首页> 外文期刊>IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems >Identifying invalid states for sequential circuit test generation
【24h】

Identifying invalid states for sequential circuit test generation

机译:识别无效状态以进行顺序电路测试生成

获取原文
获取原文并翻译 | 示例
   

获取外文期刊封面封底 >>

       

摘要

For sequential circuit test pattern generation incorporating backward justification, we need to justify the values on flip-flops to activate and propagate fault effects. This takes much time when the values to be justified on flip-flops appear to be invalid states. Hence, it is desirable to know invalid states, either dynamically during the justification process or statically before proceeding to test generation. This paper proposes algorithms to identify, before test generation, invalid states for sequential circuits without reset states. The first algorithm explores all valid states from an unknown initial state to search the complete set of invalid states. The second algorithm finds the complete set of invalid states from searching the reachable states for each state. The third algorithm searches the invalid states which are required for test generation to help stop justification early by analyzing dependency among flip-flops to simulate each partial circuit. Experimental results on ISCAS benchmark circuits show that the algorithms can identify invalid states in short time. The obtained invalid states were also used in test generation, and it was shown that they improved test generation significantly in test generation time, fault coverage, and detection efficiency, especially for larger circuits and for those that were difficult to generate.
机译:对于包含反向调整的顺序电路测试图生成,我们需要调整触发器上的值以激活和传播故障影响。当要在触发器上调整的值似乎是无效状态时,这会花费很多时间。因此,期望在验证过程期间动态地或在进行测试生成之前静态地知道无效状态。本文提出了一种算法,可以在测试生成之前识别没有复位状态的时序电路的无效状态。第一种算法从未知的初始状态中探索所有有效状态,以搜索无效状态的完整集合。第二种算法通过搜索每个状态的可达状态来找到无效状态的完整集合。第三种算法搜索测试生成所需的无效状态,以通过分析触发器之间的相关性来模拟每个局部电路,从而帮助尽早停止验证。在ISCAS基准电路上的实验结果表明,该算法可以在短时间内识别出无效状态。所获得的无效状态也用于测试生成,并且表明它们在测试生成时间,故障覆盖率和检测效率方面显着改善了测试生成,特别是对于较大的电路和难以生成的电路。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号