We introduce a Bayesian Optimization algorithm (BOA) for the automatic generation of test sequences (ATPG) for digital circuit. We compare our approach, named BOATPG, to the two most known evolutionary approaches to ATPG (GATTO and STRATEGATE) and the currently most promising non-evolutionary approach to ATPG (namely, SPECTRAL ATPG). We show that our simple approach can easily outperform GATTO and performs as good as a more complex evolutionary approach like STRATEGATE. We also show that when BOATPG is coupled with spectral approach for seeding the population of initial test sequences, the resulting hybrid system, SBOATPG, performs better than the plain BOATPG although the improvements over SPECTRAL ATPG are limited. © Springer-Verlag Berlin Heidelberg 2006.
CITATION STYLE
Gravagnoli, T., Ferrandi, F., Lanzi, P. L., & Sciuto, D. (2006). Automatic test pattern generation with BOA. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4193 LNCS, pp. 423–432). Springer Verlag. https://doi.org/10.1007/11844297_43
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