[1988] the Eighteenth International Symposium on Fault-Tolerant Computing. Digest of Papers
DOI: 10.1109/ftcs.1988.5315
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An implementation and analysis of a concurrent built-in self-test technique

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Cited by 36 publications
(18 citation statements)
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“…Nevertheless, all input combinations still need to appear before any indication of circuit correctness is provided. In [4], a test vector based self-test method is described and evaluated for combinational circuits.…”
Section: Related Workmentioning
confidence: 99%
“…Nevertheless, all input combinations still need to appear before any indication of circuit correctness is provided. In [4], a test vector based self-test method is described and evaluated for combinational circuits.…”
Section: Related Workmentioning
confidence: 99%
“…The second fault may invalidate the reference values used for testing the circuit. In addition, in schemes that rely on specific test vectors [4], the presence of one fault may invalidate a test for another fault [1].…”
Section: Introductionmentioning
confidence: 98%
“…For example, in [3], output comparison of identical circuits under identical input vectors is used. In [4], a circuit named CTC , which produces the same output values as the CUT for a given set of test vectors T , is implemented. The input vectors applied to the CUT are also applied to CTC .…”
Section: Introductionmentioning
confidence: 99%
“…Finally, a concurrent fault detection method for combinational logic is described in [11]. This method, which we will refer to as Test Vector Logic Replication (TVLR), is depicted in Figure (1).…”
Section: Related Workmentioning
confidence: 99%
“…Similarly to [2,3,11], we assume a uniform distribution at the circuit inputs and employ fault simulation of randomly generated input sequences. More specifically, for each method we use HOPE [15] to perform two fault simulations of the same sequence of randomly generated inputs, once observing both the test output and the circuit outputs, and a second time observing only the test output.…”
Section: Fault Detection Latencymentioning
confidence: 99%