COSMOS: a compiled simulator for MOS circuits
DAC '87 Proceedings of the 24th ACM/IEEE Design Automation Conference
Realistic fault modeling for VLSI testing
DAC '87 Proceedings of the 24th ACM/IEEE Design Automation Conference
E-PROOFS: a CMOS bridging fault simulator
ICCAD '92 1992 IEEE/ACM international conference proceedings on Computer-aided design
A multiple-dominance switch-level model for simulation of short faults
ICCAD '95 Proceedings of the 1995 IEEE/ACM international conference on Computer-aided design
Oscillation control in logic simulation using dynamic dominance graphs
DAC '96 Proceedings of the 33rd annual Design Automation Conference
The Logic Threshold Based Voting: A Model for Local Feedback Bridging Fault
EDCC-2 Proceedings of the Second European Dependable Computing Conference on Dependable Computing
Biased Voting: A Method for Simulating CMOS Bridging Faults in the Presence of Variable Gate Logic
Proceedings of the IEEE International Test Conference on Designing, Testing, and Diagnostics - Join Them
Fast and Accurate CMOS Bridging Fault Simulation
Proceedings of the IEEE International Test Conference on Designing, Testing, and Diagnostics - Join Them
IEEE Design & Test
A Switch-Level Model and Simulator for MOS Digital Systems
IEEE Transactions on Computers
Behavior Analysis of Internal Feedback Bridging Faults in CMOS Circuits
Journal of Electronic Testing: Theory and Applications
Switch-level bridging fault simulation in the presence of feedbacks
ITC '98 Proceedings of the 1998 IEEE International Test Conference
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To simulate the effects of feedback bridging faults accurately, it is necessary to take into account both the conflict between signals of opposite logic values and the oscillation or asynchronous behavior induced by global feedback loops. This papers presents a method for detecting and processing global feedback dynamically in logic simulation. The problem of asynchronous behavior in feedback paths with an even number of inversions is solved by breaking the feedback and evaluating the possible stable states separately. Simulation experiments show that the uncertainty in fault diagnosis can be significantly reduced by incorporating the proposed technique for feedback analysis.