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A hybrid distributed test generation method using deterministic and genetic algorithms

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2 Author(s)
Harmanani, H. ; Dept. of Comput. Sci. & Math., Lebanese American Univ., Byblos, Lebanon ; Karablieh, B.

Test generation is a highly complex and time-consuming task. In this work, we present a distributed method for combinational test generation. The method is based on a hybrid approach that combines both deterministic and genetic approaches. The deterministic phase is based on the D-algorithm and generates an initial set of test vectors that are evolved in the genetic phase in order to achieve high fault coverage in a short time. The algorithm is parallelized based on a cluster of workstations using the message passing interface (MPI) library. Several benchmark circuits were attempted, and favorable results comparisons are reported.

Published in:

System-on-Chip for Real-Time Applications, 2005. Proceedings. Fifth International Workshop on

Date of Conference:

20-24 July 2005