Proceedings of the IEEE 1991 Custom Integrated Circuits Conference
DOI: 10.1109/cicc.1991.163995
|View full text |Cite
|
Sign up to set email alerts
|

Pascant: a partial scan and test generation system

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
2
1

Citation Types

0
14
0

Publication Types

Select...
5
2

Relationship

0
7

Authors

Journals

citations
Cited by 47 publications
(14 citation statements)
references
References 12 publications
0
14
0
Order By: Relevance
“…We added entropy analysis to spectral analysis because the entropy analysis uses structural (SCC) and functional (logic probabilities) information to select flip-flops [22]. The two analyses together will use both structural and functional analysis to improve the quality of the scan set.…”
Section: Resultsmentioning
confidence: 99%
See 2 more Smart Citations
“…We added entropy analysis to spectral analysis because the entropy analysis uses structural (SCC) and functional (logic probabilities) information to select flip-flops [22]. The two analyses together will use both structural and functional analysis to improve the quality of the scan set.…”
Section: Resultsmentioning
confidence: 99%
“…The method tried to achieve a required test coverage with minimum overhead through the use of a modified path-oriented decision making (PODEM) automatic test pattern generation program [21]. Cheng and Agrawal [8] [22]. Chakradhar et al [7] solved the minimum feedback vertex set (MFVS) problem for partial-scan with branch-and-bound partitioning and pruning techniques using integer linear programming (ILP).…”
Section: B Partial-scan and Dftmentioning
confidence: 99%
See 1 more Smart Citation
“…We compare our algorithm with three other state-of-the art methods: Lee and Reddy [9], Pascant [11] and Opus [5]. All three are heuristic approaches and do not guarantee an MFVS.…”
Section: Resultsmentioning
confidence: 99%
“…Several exact and heuristic methods have been proposed for this problem [8,9,10,11,12,13,14]. In this paper, we present a new exact algorithm.…”
Section: Introductionmentioning
confidence: 99%