1993
DOI: 10.1007/bf00971973
|View full text |Cite
|
Sign up to set email alerts
|

On the generation of test patterns for multiple faults

Abstract: This paper presents a new method to generate test patterns for multiple stuck-at faults in combinational circuits. We assume the presence of all multiple faults of all multiplicities and we do not resort to their explicit enumeration: the target fault is a single component of possibly several multiple faults. New line and gate models are introduced to handle multiple fault effect propagation through the circuits. The method tries to generate test conditions that propagate the effect of the target fault to prim… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2

Citation Types

0
2
0

Year Published

2000
2000
2013
2013

Publication Types

Select...
4
1

Relationship

0
5

Authors

Journals

citations
Cited by 8 publications
(2 citation statements)
references
References 35 publications
0
2
0
Order By: Relevance
“…In some works, structural constraints and masking relations of single faults are exploited to analyze the detectability of multiple faults [3][4][5]. The problems of ATPG-based grading of self-checking properties and strong fault-secureness under the conditions of possible multiple faults are discussed in [6,7].…”
Section: Introductionmentioning
confidence: 99%
“…In some works, structural constraints and masking relations of single faults are exploited to analyze the detectability of multiple faults [3][4][5]. The problems of ATPG-based grading of self-checking properties and strong fault-secureness under the conditions of possible multiple faults are discussed in [6,7].…”
Section: Introductionmentioning
confidence: 99%
“…Algorithms for generating tests for multiple stuck-at faults exist [1]. Programming of such algorithms will be useful if we were to change the test objective, because the technique considers all multiple-faults rather than targeting one or a few specified faults.…”
Section: Introductionmentioning
confidence: 99%