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23rd IEEE VLSI Test Symposium (VTS'05)
Diagnosis of Arbitrary Defects Using Neighborhood Function Extraction
Palm Springs, California
May 01-May 05
ISBN: 0-7695-2314-5
Rao Desineni, Carnegie Mellon University
R. D. (Shawn) Blanton, Carnegie Mellon University
We present a methodology for diagnosing arbitrary defects in digital integrated circuits (ICs). Rather than using one or a set of fault models in a cause-effect or effect-cause approach, our methodology derives defect behavior from the test set, the circuit and its response, and the physical neighbors that surround a potential defect location. The defect locations themselves are identified using a model-independent stage. The methodology enables accurate identification of defect location and behavior through validation via simulation using passing and additional diagnostic test patterns. A byproduct of our methodology is the distinction that can be made among stuck-fault equivalencies which results in improved diagnostic resolution. Several types of shorts and opens are used to demonstrate the applicability of our approach to the diagnosis of arbitrary defects.
Index Terms:
Diagnosis, defects, failure analysis, test generation, yield enhancement
Citation:
Rao Desineni, R. D. (Shawn) Blanton, "Diagnosis of Arbitrary Defects Using Neighborhood Function Extraction," vts, pp.366-373, 23rd IEEE VLSI Test Symposium (VTS'05), 2005
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