Delay test effectiveness evaluation of LSSD-based VLSI logic circuits
DAC '91 Proceedings of the 28th ACM/IEEE Design Automation Conference
Delay Testing Quality in Timing-Optimized Designs
Proceedings of the IEEE International Test Conference on Test: Faster, Better, Sooner
Test Method Evaluation Experiments & Data
ITC '00 Proceedings of the 2000 IEEE International Test Conference
Test Generation for Multiple-Threshold Gate-Delay Fault Model
ATS '01 Proceedings of the 10th Asian Test Symposium
Experimental Results for Slow-Speed Testing
VTS '02 Proceedings of the 20th IEEE VLSI Test Symposium
Logic BIST for Large Industrial Designs: Real Issues and Case Studies
ITC '99 Proceedings of the 1999 IEEE International Test Conference
TranGen: a SAT-based ATPG for path-oriented transition faults
Proceedings of the 2004 Asia and South Pacific Design Automation Conference
On effective criterion of path selection for delay testing
ASP-DAC '03 Proceedings of the 2003 Asia and South Pacific Design Automation Conference
DFT timing design methodology for at-speed BIST
ASP-DAC '03 Proceedings of the 2003 Asia and South Pacific Design Automation Conference
Estimation of delay test quality and its application to test generation
Proceedings of the 2007 IEEE/ACM international conference on Computer-aided design
System-on-Chip Test Architectures: Nanometer Design for Testability
System-on-Chip Test Architectures: Nanometer Design for Testability
Automatic test pattern generation for delay defects using timed characteristic functions
Proceedings of the International Conference on Computer-Aided Design
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In this paper we introduce a quality model that reflects fabrication process quality, design delay margin, and test timing accuracy. The model provides a measure that can predict the level of chip defects that cause delay failure, including marginal delay. We can therefore use the model to make test vectors that are effective in terms of both testing cost and chip quality. The results of experiments using ISCAS89 benchmark data and some large industrial design data reflect various characteristics of our statistical delay quality model.