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Efficient test compaction for combinational circuits based on Fault detection count-directed clustering

Efficient test compaction for combinational circuits based on Fault detection count-directed clustering
Efficient test compaction for combinational circuits based on Fault detection count-directed clustering
Test compaction is an effective technique for reducing test data volume and test application time. The authors present a new static test compaction technique based on test vector decomposition and clustering. Test vectors are decomposed and clustered for faults in an increasing order of faults detection count. This clustering order gives more degree of freedom and results in better compaction. Experimental results demonstrate the effectiveness of the proposed approach in achieving higher compaction in a much more efficient CPU time than the previous clustering-based test compaction approaches.
El-Maleh, Aiman
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Khursheed, Syed Saqib
df76c622-61ca-45b2-b067-2753f1ac0abf
El-Maleh, Aiman
5f9ddeed-c012-473e-9b67-ac218e8bec40
Khursheed, Syed Saqib
df76c622-61ca-45b2-b067-2753f1ac0abf

El-Maleh, Aiman and Khursheed, Syed Saqib (2007) Efficient test compaction for combinational circuits based on Fault detection count-directed clustering. IET Computers & Digital Techniques, 1 (4).

Record type: Article

Abstract

Test compaction is an effective technique for reducing test data volume and test application time. The authors present a new static test compaction technique based on test vector decomposition and clustering. Test vectors are decomposed and clustered for faults in an increasing order of faults detection count. This clustering order gives more degree of freedom and results in better compaction. Experimental results demonstrate the effectiveness of the proposed approach in achieving higher compaction in a much more efficient CPU time than the previous clustering-based test compaction approaches.

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More information

Published date: July 2007
Organisations: Electronic & Software Systems

Identifiers

Local EPrints ID: 267549
URI: http://eprints.soton.ac.uk/id/eprint/267549
PURE UUID: 745d9358-0fc3-46c2-8edb-7d60b697abb0

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Date deposited: 11 Jun 2009 12:25
Last modified: 14 Mar 2024 08:52

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Contributors

Author: Aiman El-Maleh
Author: Syed Saqib Khursheed

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