The growing dispersion of ICs' parameters poses relevant uncertainties on gate output conductances and logic thresholds which play a main role in bridging fault detection. In this evolving context, the quality of fault simulation and test generation tools making use of nominal parameters should be verified. To analyze this problem we have studied bridging fault detection in combinational ICs in the presence of growing variations of IC's. Results show that a single test is not sufficient to ensure acceptable escape probabilities. Conversely, the minimal number of test vectors required to provide a null escape probability is upper bounded with respect to variations in the standard deviation of IC's parameters. This result has been verified by means of Monte Carlo electrical level simulation. We propose a method to derive these minimal test sets in the case of low frequency tests. A fault simulator and a test generator have been developed supporting the search of minimal test sets targeting a null escape probability. These tools have been applied to a set of combinational benchmarks.

How many test vectors we need to detect a bridging fault?

FAVALLI, Michele;
2009

Abstract

The growing dispersion of ICs' parameters poses relevant uncertainties on gate output conductances and logic thresholds which play a main role in bridging fault detection. In this evolving context, the quality of fault simulation and test generation tools making use of nominal parameters should be verified. To analyze this problem we have studied bridging fault detection in combinational ICs in the presence of growing variations of IC's. Results show that a single test is not sufficient to ensure acceptable escape probabilities. Conversely, the minimal number of test vectors required to provide a null escape probability is upper bounded with respect to variations in the standard deviation of IC's parameters. This result has been verified by means of Monte Carlo electrical level simulation. We propose a method to derive these minimal test sets in the case of low frequency tests. A fault simulator and a test generator have been developed supporting the search of minimal test sets targeting a null escape probability. These tools have been applied to a set of combinational benchmarks.
Favalli, Michele; M., Dalpasso
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11392/533665
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