FAULT DICTIONARIES FOR INTEGRATED CIRCUIT YIELD AND QUALITY ANALYSIS METHODS AND SYSTEMS

Patent №

US 7,987,442

Granted

2011-07-26

Filed 2005

Owner

Lab

AI components

2

nlp · hardware

Assignment

None on record

Dataset

AIPD

2023_r1 edition

Application

11221394

Methods, apparatus, and systems for testing, analyzing, and improving integrated circuit yield and quality are disclosed herein. For example, in one exemplary embodiment, one or more fault dictionaries are generated for identifying one or more defect candidates from corresponding observation point combinations. In this exemplary method, the observation point combinations indicate the observation points of a circuit-under-test that captured faulty test values upon application of a respective test pattern. Further, the one or more fault dictionaries in one embodiment are generated by: (a) for a first defect candidate, storing one or more first indicators indicative of test patterns detecting the first defect candidate, and (b) for a second defect candidate, storing at least a second indicator indicative of the test patterns that detect the second defect candidate, the second indicator comprising a bit mask that indicates which of the test patterns detecting the first defect candidate also detect the second defect candidate.

Natural languageAI hardwareG06F 11/2273G01R 31/01G01R 31/2846G01R 31/2894G01R 31/31704G01R 31/31835G01R 31/2853

AI classification

AI hardware0.93
Natural language0.85
Machine learning0.47
Knowledge representation0.03
Vision0.00
Planning0.00
Evolutionary computation0.00
Speech0.00
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