Title :
On the distribution of fault coverage and test length in random testing of combinational circuits
Author :
Majumdar, Amitava ; Sastry, Sarma
Author_Institution :
Dept. of Electr. Eng., Southern Illinois Univ., Carbondale, IL, USA
Abstract :
Models for the process of testing faults in combinational circuits under both random and pseudorandom tests are proposed. Based on these models, the probability distribution function (PDF) of fault coverage is derived. By using an important relationship between the PDF of fault coverage and that of test length, an expression is derived for the PDF of test length. These analytical results allow expressions to be obtained for expected values of fault coverage and test length, and other important statistics not obtained by existing techniques. Empirical results validating these models for fault coverage analysis are presented from experiments with several circuits. Techniques for estimation of necessary parameters, based on both statistical and probabilistic models, are proposed. These techniques, combined with the theoretical results, define a comprehensive methodology for random testability prediction of combinational circuits
Keywords :
combinatorial circuits; fault location; logic testing; combinational circuits; fault coverage distribution; probability distribution function; pseudorandom tests; random testing; random tests; test length; Circuit faults; Circuit testing; Combinational circuits; Digital circuits; Distribution functions; Parameter estimation; Pattern analysis; Predictive models; Probability distribution; Statistical analysis;
Conference_Titel :
Design Automation Conference, 1992. Proceedings., 29th ACM/IEEE
Conference_Location :
Anaheim, CA
Print_ISBN :
0-8186-2822-7
DOI :
10.1109/DAC.1992.227781