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Untestable fault identification through enhanced necessary value assignments

Published: 17 April 2005 Publication History

Abstract

In this paper, we propose novel low-cost methods that combine static logic implications and binary resolution to significantly increase the number of non-trivial signal relations learned from the circuit. The proposed method first applies resolution techniques to learn new static single-node implications and then uses them to learn powerful multi-node implications. All the newly learned relations help in extracting more necessary assignments for a given fault, potentially increasing the chance for a conflict to occur among the necessary assignments. Experimental results on ISCAS89 and ITC99 benchmarks show that our method can identify significantly more untestable faults compared to existing non branch-and-bound based techniques.

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  • (2018)A Sequentially Untestable Fault Identification Method Based on n-Bit State Cube Justification2018 IEEE 24th International Symposium on On-Line Testing And Robust System Design (IOLTS)10.1109/IOLTS.2018.8474268(43-46)Online publication date: Jul-2018

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  1. Untestable fault identification through enhanced necessary value assignments

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      cover image ACM Conferences
      GLSVLSI '05: Proceedings of the 15th ACM Great Lakes symposium on VLSI
      April 2005
      518 pages
      ISBN:1595930574
      DOI:10.1145/1057661
      • General Chair:
      • John Lach,
      • Program Chairs:
      • Gang Qu,
      • Yehea Ismail
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      Published: 17 April 2005

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      1. implications
      2. untestable faults

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      April 17 - 19, 2005
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      • (2018)A Sequentially Untestable Fault Identification Method Based on n-Bit State Cube Justification2018 IEEE 24th International Symposium on On-Line Testing And Robust System Design (IOLTS)10.1109/IOLTS.2018.8474268(43-46)Online publication date: Jul-2018

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