Proceedings of the 7th International Conference on Properties and Applications of Dielectric Materials (Cat No 03CH37417) ATS-0 2003
DOI: 10.1109/ats.2003.1250828
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Optimal system-on-chip test scheduling

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Cited by 7 publications
(16 citation statements)
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“…In our paper, without loss of generality, we use the normalized function to represent this relationship. A similar relationship was used in [28]. We have verified that this empirical relationship matches the "fault coverage curve" for the ISCAS benchmark circuits.…”
Section: A Test-length Selection Problemsupporting
confidence: 52%
See 1 more Smart Citation
“…In our paper, without loss of generality, we use the normalized function to represent this relationship. A similar relationship was used in [28]. We have verified that this empirical relationship matches the "fault coverage curve" for the ISCAS benchmark circuits.…”
Section: A Test-length Selection Problemsupporting
confidence: 52%
“…Otherwise, we model the relationship between fault coverage and the number of patterns with an exponential function. It is well known in the testing literature that the fault coverage for stuck-at faults increases rapidly initially as the pattern count increases, but it flattens out when more patterns are applied to the circuit under test [27], [28]. In our paper, without loss of generality, we use the normalized function to represent this relationship.…”
Section: A Test-length Selection Problemmentioning
confidence: 99%
“…In our work, without loss of generality, we use the normalized function fc i (p * i ) = (log 10 (p * i + 1)/ log 10 p i ) to represent this relationship. A similar relationship was used in [30]. We have verified that this empirical relationship matches the "fault coverage curve" for the ISCAS benchmark circuits.…”
Section: B Test-length and Tam Optimization Problem: P Tltwsmentioning
confidence: 67%
“…Otherwise, we model the relationship between fault coverage and the number of patterns with an exponential function. It is well known in the testing literature that the fault coverage for stuck-at faults increases rapidly initially as the pattern count increases, but it flattens out when more patterns are applied to the circuit under test [29], [30]. In our work, without loss of generality, we use the normalized function fc i (p * i ) = (log 10 (p * i + 1)/ log 10 p i ) to represent this relationship.…”
Section: B Test-length and Tam Optimization Problem: P Tltwsmentioning
confidence: 99%
“…Otherwise, we model the relationship between fault coverage and the number of patterns with an exponential function. It is well known in the testing literature that the fault coverage for stuck-at faults increases rapidly initially as the pattern count increases, but it flattens out when more patterns are applied to the circuit under test [24], [25]. In our work, without loss of generality, we use the normalized function f ci(p * i ) = log 10 (p * i +1) log 10 p i to represent this relationship.…”
Section: B Test-length and Tam Optimization Problem: Pt Lt W Smentioning
confidence: 99%