Don't Care Identification and Statistical Encoding for Test Data Compression

Seiji KAJIHARA
Kenjiro TANIGUCHI
Kohei MIYASE
Irith POMERANZ
Sudhakar M. REDDY

Publication
IEICE TRANSACTIONS on Information and Systems   Vol.E87-D    No.3    pp.544-550
Publication Date: 2004/03/01
Online ISSN: 
DOI: 
Print ISSN: 0916-8532
Type of Manuscript: Special Section PAPER (Special Section on Test and Verification of VLSI)
Category: Test Generation and Compaction
Keyword: 
test compression,  don't care identification,  Huffman's algorithm,  test generation,  

Full Text: PDF(377.8KB)>>
Buy this Article


Summary: 
This paper describes a method of test data compression for a given test set using statistical encoding. In order to maximize the effectiveness of statistical encoding, the method first converts some specified input values in the test set to unspecified ones without losing fault coverage, and then reassigns appropriate logic values to the unspecified inputs. Experimental results for ISCAS-89 benchmark circuits show that the proposed method can on the average reduce the test data volume to less than 25% of that required for the original test set.

open access publishing via