Evolutionary Optimization in Code-Based Test Compression

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Polian, Ilia
Czutro, Alejandro
Becker, Bernd
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Abstract
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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.
Comment: Submitted on behalf of EDAA (http://www.edaa.com/)
Keywords
Computer Science - Hardware Architecture
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