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Ninth Asian Test Symposium (ATS'00)
Forecasting the efficiency of test generation algorithms for digital circuits
Taipei, Taiwan
December 04-December 06
ISBN: 0-7695-0887-1
Shiyi Xu, Sch. of Comput. Sci. & Eng., Shanghai Univ., China
Wei Cen, Sch. of Comput. Sci. & Eng., Shanghai Univ., China
Within this era of VLSI circuits, testability is truly a very crucial issue. To generate a test set for a given circuit (including both combinational and sequential circuits), choice of an algorithm within a number of existing test generation algorithms to apply is bound to vary from circuit to circuit. In this paper, the genetic algorithms are used to construct the models of existing test generation algorithms in making such choice more easily. Therefore, we may forecast the testability parameters of a circuit before using the real test generation algorithm. The results also can be used to evaluate the efficiency of the existing test generation algorithms. Experimental results are given to confirm the validity and usefulness of this approach.
Index Terms:
integrated circuit testing; VLSI; genetic algorithms; digital integrated circuits; sequential circuits; combinational circuits; logic testing; automatic test pattern generation; test generation algorithms; efficiency forecasting; digital circuits; VLSI circuits; testability parameters; combinational circuits; sequential circuits; genetic algorithms; ATPG
Citation:
Shiyi Xu, Wei Cen, "Forecasting the efficiency of test generation algorithms for digital circuits," ats, pp.179, Ninth Asian Test Symposium (ATS'00), 2000
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