Multiple distributions for biased random test patterns
H.-J. Wunderlich · 2003
An efficient method has been presented to compute multiple distributions for random patterns, which can be applied successively. Using multiple distributions, all combinational circuits can be made random-testable, and complete fault coverage is provided by a few thousands of random patterns. The differently weighted random test sets can be applied to scan path circuits using an external chip, combining the advantages of a low cost test and of high fault coverage. Several facts about testing by random patterns have been proven. It has been shown that the number of random patterns required for a certain fault coverage can be computed without regarding the pseudorandom property and with the independence assumption for fault detection.>