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Probabilistic Models for Estimation of Random and Pseudo-Random Test Length

Probabilistic Models for Estimation of Random and Pseudo-Random Test Length
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摘要 A new probabilistic testability measure is presented to ease test length analyses of random testing and pseudorandom testing.The testability measure given in this paper is oriented to signal conflict of reconvergent fanouts.Test length analyses in this paper are based on a hard fault set,calculations of which are practicable and simple.Experimental results have been obtained to show the accuracy of this test length analyser in comparison with that of Savir,Chin and McCluskey,and Wunderlich by using a pseudorandom test generator combined with exhaustive fault simulation. A new probabilistic testability measure is presented to ease test length analyses of random testing and pseudorandom testing.The testability measure given in this paper is oriented to signal conflict of reconvergent fanouts.Test length analyses in this paper are based on a hard fault set,calculations of which are practicable and simple.Experimental results have been obtained to show the accuracy of this test length analyser in comparison with that of Savir,Chin and McCluskey,and Wunderlich by using a pseudorandom test generator combined with exhaustive fault simulation.
机构地区 CAD Laboratory
出处 《Journal of Computer Science & Technology》 SCIE EI CSCD 1992年第2期164-174,共11页 计算机科学技术学报(英文版)
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  • 1Chen T H,IEEE Trans CAD,1985年,4卷,3页

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