UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
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Published in:

Volume 5 Issue 1
January-2018
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIR1801165


Registration ID:
180242

Page Number

826-831

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Title

MULTIPLE TARGET TEST GENERATORS FOR OPTIMIZING THE ATPG PROCESS TO REDUCE NUMBER OF TEST SETS

Abstract

While defect oriented testing in digital circuits is a hard process, detecting a modeled fault more than one time has been shown to result in high defect coverage. Previous work shows that such test sets, known as multiple detector -detect test sets, are of increased quality for a number of common defects in deep sub-micrometer technologies. Method for multiple detect test generation usually produce fully specified test patterns. This limits their usage in a number of important applications such as low power test and test compression. This work proposes a systematic methodology for identifying a large number of bits that can be unspecified in a multiple detect test set, while preserving the original fault coverage. The experimental results demonstrate that the number of specified bits in, even compact, -detect test sets can be significantly reduced without any impact on the -detect property. Additionally, in many cases, the size of the test set is reduced. Current ATPG methods treat all faults independently from each other which limits the test compaction capability. We propose a new optimization SAT-based ATPG for compact test set generation with high fault coverage as well as a new retargeting stage for test set reduction. The ATPG is based on a novel Multiple-Target Test Generation (MTTG) formulation using optimization techniques. Robust SAT-based solving algorithms are leveraged to determine compatible fault groups which can be detected by the same test. The proposed technique can be used during initial compact test generation as well as a post-process to increase the compactness of existing test sets, e.g. generated by commercial tools, in an iterative manner.

Key Words

ATPG, SAT, Optimization, Formal Methods, Compaction.

Cite This Article

"MULTIPLE TARGET TEST GENERATORS FOR OPTIMIZING THE ATPG PROCESS TO REDUCE NUMBER OF TEST SETS", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 1, page no.826-831, January-2018, Available :http://www.jetir.org/papers/JETIR1801165.pdf

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2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"MULTIPLE TARGET TEST GENERATORS FOR OPTIMIZING THE ATPG PROCESS TO REDUCE NUMBER OF TEST SETS", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 1, page no. pp826-831, January-2018, Available at : http://www.jetir.org/papers/JETIR1801165.pdf

Publication Details

Published Paper ID: JETIR1801165
Registration ID: 180242
Published In: Volume 5 | Issue 1 | Year January-2018
DOI (Digital Object Identifier):
Page No: 826-831
Country: -, -, - .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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