• DocumentCode
    1630462
  • Title

    Upper bounding fault coverage by structural analysis and signal monitoring

  • Author

    Agrawal, Vishwani D. ; Bose, Soumitra ; Gangaram, Vijay

  • Author_Institution
    Dept. of ECE, Auburn Univ., AL
  • fYear
    2006
  • Lastpage
    93
  • Abstract
    A new algorithm for identifying stuck faults in combinational circuits that cannot be detected by a given input sequence is presented. Other than pre and post-processing steps, certain signal conditions are monitored during logic simulation. These signal conditions are specified by an analysis of dominators and signal reconvergences in the circuit graph. After simulation, a post-processing step identifies faults that cannot be detected by the sequence. For combinational IS GAS benchmarks, the runtime overhead for the algorithm is found to be around 30-40% over that of a logic simulator. Experimental data show a substantial reduction of error in statistical estimates obtained by a stuck-fault coverage estimator when corrected for faults found by this algorithm as guaranteed to be undetected by the given sequence. An effective application of this technique is demonstrated for scan-based test point selection in an industrial scenario where circuit size and vector length prohibit the use of fault simulation
  • Keywords
    circuit simulation; combinational circuits; fault simulation; logic simulation; logic testing; sequential circuits; circuit graph; combinational circuits; fault simulation; logic simulation; signal monitoring; structural analysis; stuck faults; upper bounding fault coverage; Circuit faults; Circuit simulation; Circuit testing; Combinational circuits; Electrical fault detection; Fault detection; Fault diagnosis; Logic; Monitoring; Signal analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    VLSI Test Symposium, 2006. Proceedings. 24th IEEE
  • Conference_Location
    Berkeley, CA
  • Print_ISBN
    0-7695-2514-8
  • Type

    conf

  • DOI
    10.1109/VTS.2006.89
  • Filename
    1617568