Proceedings Design, Automation and Test in Europe. Conference and Exhibition 2001
DOI: 10.1109/date.2001.915008
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Diagnosis for scan-based BIST: reaching deep into the signatures

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Cited by 12 publications
(6 citation statements)
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References 9 publications
(27 reference statements)
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“…Space diagnosis refers to the identification of failing (error-capturing) scan cells. A number of space diagnosis techniques have been proposed in the literature [4,5,23,29]. These techniques provide a small set of candidate failing scan cells out of the tens of thousands of scan cells in large ICs.…”
Section: Introductionmentioning
confidence: 99%
“…Space diagnosis refers to the identification of failing (error-capturing) scan cells. A number of space diagnosis techniques have been proposed in the literature [4,5,23,29]. These techniques provide a small set of candidate failing scan cells out of the tens of thousands of scan cells in large ICs.…”
Section: Introductionmentioning
confidence: 99%
“…Previous research has mostly focused on finding the failing scan cells [8,2,3,10] or failing test vectors [9,4]. Even though failing scan chain identification has been successfully performed, identification of failing test vectors has had no practical solution so far due to the high number of failing test vectors.…”
Section: Introductionmentioning
confidence: 99%
“…While for identification of fault embedding scan cells any of the previously suggested schemes [8,2,3,10,4] can be utilized, for failing test vector identification we propose to acquire additional signatures during test application. Additional signatures are to be captured for a small set of initial vectors individually and for the rest of the vectors in larger groups.…”
Section: Introductionmentioning
confidence: 99%
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“…The former refers to the set of scan cells that capture errors during the BIST session. This problem has received a lot of attention recently, and a number of methods involving scan chain partitioning methods with multiple test sessions have been proposed for precisely identifying the failing scan cells [4][5][6][7]. A more difficult problem in scan-BIST diagnosis is that of identifying the set of failing vectors.…”
Section: Introductionmentioning
confidence: 99%