A novel test pattern generator for Built-In Self-Test technique of testable combinational circuits is proposed. The presented solution is based on a hybrid testing reconfigurable test pattern generator, that uses a shift register reacted through two different networks: it firstly reproduces a pseudo-random sequence of test patterns using a linear feedback combinational network and then reproduces deterministic precalculated test patterns, useful to detect hard faults, using a non-linear feedback combinational network. For the proposed approach, a synthesis tool (based on state space heuristic search and the "selfish gene" genetic algorithm) able to determine test pattern generator for a given test set, is also proposed. Experiments to evaluate synthesis time and the test sequence length are conducted on well-known ISCAS'85 circuits. Comparison with previous techniques shows the effectiveness of proposed solution.

Test Pattern Generator for Hybrid Testing of Combinational Circuits

DE CARO, Davide;MAZZOCCA, NICOLA;NAPOLI, ETTORE;STROLLO, ANTONIO GIUSEPPE MARIA
2001

Abstract

A novel test pattern generator for Built-In Self-Test technique of testable combinational circuits is proposed. The presented solution is based on a hybrid testing reconfigurable test pattern generator, that uses a shift register reacted through two different networks: it firstly reproduces a pseudo-random sequence of test patterns using a linear feedback combinational network and then reproduces deterministic precalculated test patterns, useful to detect hard faults, using a non-linear feedback combinational network. For the proposed approach, a synthesis tool (based on state space heuristic search and the "selfish gene" genetic algorithm) able to determine test pattern generator for a given test set, is also proposed. Experiments to evaluate synthesis time and the test sequence length are conducted on well-known ISCAS'85 circuits. Comparison with previous techniques shows the effectiveness of proposed solution.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11588/183214
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