Method for test data-driven statistical detection of outlier...

Electricity: measuring and testing – Fault detecting in electric circuits and of electric components – Of individual circuit component or element

Reexamination Certificate

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Reexamination Certificate

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07129735

ABSTRACT:
A method for test data-driven detection of outlier semiconductor devices. Some illustrative embodiments may be a method used to test a semiconductor die comprising performing a burn-in test of a plurality of sample semiconductor dies to identify a failure of a defective semiconductor die, correlating variations in a parameter with the failure (the parameter comprising a characteristic associated with the plurality of sample semiconductor dies), defining a parameter constraint associated with the parameter, performing a production test of a production semiconductor die, and identifying the production semiconductor die as an outlier semiconductor die (the outlier semiconductor die passing the production test, but failing to conform to the parameter constraint).

REFERENCES:
patent: 6184048 (2001-02-01), Ramon
patent: 6476631 (2002-11-01), Madge
patent: 6532431 (2003-03-01), Madge
patent: 6598194 (2003-07-01), Madge et al.
patent: 6601008 (2003-07-01), Madge
patent: 6647348 (2003-11-01), Madge
patent: 6792373 (2004-09-01), Tabor

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