12th Asian Test Symposium (ATS'03) Minimizing Defective Part Level Using a Linear Programming-Based Optimal Test Selection Method Xi?an, China November 16-November 19 ISBN: 0-7695-1951-2
Recent probabilistic test generation approaches have proven that detecting single stuck-at faults multiple times is effective at reducing the defective part level (DPL). Unfortunately, these test generation strategies increase the number of test patterns. In this paper, we present a novel linear programming-based method to accelerate the optimal selection of test sets to minimize the defective part level based upon the MPG-D model. Our experimental results show that the proposed method is on average 300 times faster than the existing test pattern selection method.
Citation:
Yuxin Tian, Michael R. Grimaila, Weiping Shi, M. Ray Mercer, "Minimizing Defective Part Level Using a Linear Programming-Based Optimal Test Selection Method," ats, pp.354, 12th Asian Test Symposium (ATS'03), 2003 Usage of this product signifies your acceptance of the Terms of Use. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||