%0 Conference Paper %B IEEE Fourth International Conference on Software Testing, Verification and Validation Workshops - ICSTW %D 2011 %T Probabilistic Error Propagation Modeling in Logic Circuits %A Gupta, Shekhar %A Van Gemund, Arjan JC %A Rui Abreu %C Berlin, Germany. %I IEEE %P 617–623 %X

Recent study has shown that accurate knowledge of the false negative rate (FNR) of tests can significantly improve the diagnostic accuracy of spectrum-based fault localization. To understand the principles behind FNR modeling in this paper we study three error propagation probability (EPP) modeling approaches applied to a number of logic circuits from the 74XXX/ISCAS-85 benchmark suite. Monte Carlo simulations for random injected faults show that a deterministic approach that models gate behavior provides high accuracy (O(1%)), while probabilistic approaches that abstract from gate modeling generate higher prediction errors (O(10%)), which increase with the number of injected faults.

%8 March %> https://haslab.uminho.pt/sites/default/files/ruimaranhao/files/tebug2011_submission_6.pdf