Evolutionary Optimization in Code-Based Test Compression

  • Authors:
  • Ilia Polian;Alejandro Czutro;Bernd Becker

  • Affiliations:
  • Albert-Ludwigs-University, Germany;Albert-Ludwigs-University, Germany;Albert-Ludwigs-University, Germany

  • Venue:
  • Proceedings of the conference on Design, Automation and Test in Europe - Volume 2
  • Year:
  • 2005

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Abstract

We provide a general formulation for the code-based test compression problem with fixed-length input blocks and propose a solution approach based on Evolutionary Algorithms. In contrast to existing code-based methods, we allow unspecified values in matching vectors, which allows encoding of arbitrary test sets using a relatively small number of code-words. Experimental results for both stuck-at and path delay fault test sets for ISCAS circuits demonstrate an improvement compared to existing techniques.