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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
Yuxin Tian, Texas A&M University
Michael R. Grimaila, Texas A&M University
Weiping Shi, Texas A&M University
M. Ray Mercer, Texas A&M University
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
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