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.
Index Terms:
Test compression, code-based compression, evolutionary algorithms
Citation:
Ilia Polian, Alejandro Czutro, Bernd Becker, "Evolutionary Optimization in Code-Based Test Compression," date, vol. 2, pp.1124-1129, Design, Automation and Test in Europe (DATE'05) Volume 2, 2005