Modeling the Probability of Defect Excitation for a Commercial IC with Implications for Stuck-at Fault-Based ATPG Strategies
International Test Conference 1999. Proceedings (IEEE Cat. No.99CH37034) (1999)
Atlantic City, NJ
Sept. 28, 1999 to Sept. 30, 1999
Jennifer Dworak , Texas A&M University
Michael R. Grimaila , Texas A&M University
Sooryong Lee , Texas A&M University
Li-C. Wang , Texas A&M University
M. Ray Mercer , Texas A&M University
If many potential defects exist at each site in an integrated circuit, then as the number of applied test patterns increases, the number of defects which remain undetected decreases monotonically. Modeling this rate of decline in defective part level is a non-trivial problem. We show that the number of times each site is observed serves as a significantly superior basis for modeling this phenomenon when contrasted with the number of faults detected. This "site observation-based" predictor not only increases the accuracy of defective part level prediction, it also provides the first quantitative method for comparing the effectiveness of various ATPG strategies to reduce the defective part level.
M. R. Mercer, J. Dworak, M. R. Grimaila, L. Wang and S. Lee, "Modeling the Probability of Defect Excitation for a Commercial IC with Implications for Stuck-at Fault-Based ATPG Strategies," International Test Conference 1999. Proceedings (IEEE Cat. No.99CH37034)(ITC), Atlantic City, NJ, 1999, pp. 1031.