Title :
Fast evaluation of test vector sets using a simulation-based statistical metric
Author :
Mirkhani, Shahrzad ; Abraham, J.A.
Author_Institution :
Comput. Eng. Res. Center, Univ. of Texas at Austin, Austin, TX, USA
Abstract :
Evaluating the coverage of tests for large circuits is computationally very intensive, particularly for logic BIST, software-based self test and on-line test schemes. This has led to research into techniques for rapidly evaluating the coverage of proposed test. We introduce a new metric which is highly correlated with fault coverage measured by gate-level simulators. Based on this metric, we estimate the time when the fault coverage saturates. This is done with only one pass of simulation and it provides a measure of the effectiveness of the test sequence when applied to the circuit-under-test; additionally, the fault coverage can be estimated with a relatively small number of test vectors. Experimental results on the ISCAS´85 and ISCAS´89 benchmarks, and a RISC processor (OR1200), show an average error of 2.85% in the estimated fault coverage compared with the fault coverage from full fault simulation, with an average speedup over 8× for large circuits.
Keywords :
combinational circuits; fault simulation; logic testing; reduced instruction set computing; sequential circuits; ISCAS´85 benchmarks; ISCAS´89 benchmarks; OR1200; RISC processor; circuit-under-test; fault coverage; fault simulation; gate-level simulators; large circuits; logic BIST; online test schemes; simulation-based statistical metric; software-based self test; test coverage; test sequence; test vectors; Circuit faults; Correlation; Estimation; Integrated circuit modeling; Logic gates; Measurement; Vectors;
Conference_Titel :
VLSI Test Symposium (VTS), 2014 IEEE 32nd
Conference_Location :
Napa, CA
DOI :
10.1109/VTS.2014.6818739