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• W2054283397 abstract "This paper presents a SAT-based ATPG tool targeting on a path-oriented transition fault model. Under this fault model, a transition fault is detected through the longest sensitizable path. In the ATPG process, we utilize an efficient false-path pruning technique to identify the longest sensitizable path through each fault site. We demonstrate that our new SAT-based ATPG can be orders-of-magnitude faster than a commercial ATPG tool. To demonstrate the quality of the tests generated by our approach, we compare its resulting test set to three other test sets: a single-detection transition fault test set, a multiple-detection transition fault test set, and a traditional critical path test set added to the single-detection set. The superiority of our approach is demonstrated through various experiments based on statistical delay simulation and defect injection using benchmark circuits." @default.
• W2054283397 created "2016-06-24" @default.
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• W2054283397 date "2004-01-27" @default.
• W2054283397 modified "2023-09-27" @default.
• W2054283397 title "TranGen: a SAT-based ATPG for path-oriented transition faults" @default.
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• W2054283397 doi "https://doi.org/10.5555/1015090.1015114" @default.
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