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ABSTRACT

This paper addresses the problem of increasing unknowns in the output response data by exploring reiterative LFSR reseeding based X-masking. This approach takes advantage of the data correlation in the output response data to enable LFSR encoded masks to be reused for multiple scan slices while guaranteeing that all unknowns are masked and all bits required for fault detection are allowed to propagate to the compactor. This paper also investigates a hybrid approach that combines conventional LFSR reseeding based X-masking with fixed-interval reiterative LFSR X-masking. Experimental results for applying this approach to industrial designs indicate that significant amounts of output compression can be achieved without any pattern count inflation or loss in fault coverage.

REFERENCES

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INDEX TERMS

Primary Classification:
  B. Hardware
  B.8 Performance and Reliability
      B.8.1 Reliability, Testing, and Fault-Tolerance

General Terms:
Algorithms, Design, Economics, Experimentation, Measurement, Performance, Reliability, Theory

Keywords:
LFSR, compression, reiterative, x-masking