2009 27th IEEE VLSI Test Symposium 2009
DOI: 10.1109/vts.2009.28
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Effective and Efficient Test Pattern Generation for Small Delay Defect

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Cited by 44 publications
(6 citation statements)
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“…Girard et al [11] adopted the method of critical path tracing in delay fault diagnosis. According to the different methods of processing timing information, small-delay fault simulation can be classified into two categories: path-based simulation [2][3][4][5][6] and waveform-based simulation [14][15][16]. Li et al [13] extended the application of GPU and critical path tracing for transition fault simulation.…”
Section: Introductionmentioning
confidence: 99%
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“…Girard et al [11] adopted the method of critical path tracing in delay fault diagnosis. According to the different methods of processing timing information, small-delay fault simulation can be classified into two categories: path-based simulation [2][3][4][5][6] and waveform-based simulation [14][15][16]. Li et al [13] extended the application of GPU and critical path tracing for transition fault simulation.…”
Section: Introductionmentioning
confidence: 99%
“…Recently, many methods aimed at small-delay detection have been presented, such as faster-than-at-speed test [2], timing-aware based automatic test pattern generator (ATPG) [3,4], and pattern selection based on an N-detect transition fault (TF) test repository [5,6]. These methods achieved a higher small-delay test quality.…”
Section: Introductionmentioning
confidence: 99%
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“…Different approaches can be found in the literature, for example [18], targeting industrial benchmarks, and the one in [19], selecting the most efficient patterns from timing-unaware ATPG tools and working on IWLS 2005 benchmarks circuits. Approaches for the identification of the longest paths through a fault site, which are crucial for SDD tests, are proposed in [20] and [21].…”
Section: Related Workmentioning
confidence: 99%
“…It is based on robust path delay test and attempts to find the longest sensitizable paths passing through the target fault site and generating a slow-to-rise or slow-to-fall transition. The authors in [2] proposed a hybrid method using 1-detect and timingaware ATPGs to detect SDDs based on SDF with a reduced pattern count. In [3], a static-timing-analysis based method was proposed to generate and select patterns that sensitize long paths.…”
Section: A Related Prior Workmentioning
confidence: 99%