Title

A Quantitative Characterization of Cross Coverage

Published In

IEEE Transactions on Computers

Document Type

Citation

Publication Date

8-2015

Subjects

Engineering -- Statistical methods, Probabilities, Debugging in computer science

Abstract

Effective verification methods are necessary for finding bugs in complex system design. Given domain specific knowledge, design verification engineers typically specify cross coverage for certain risky areas where bugs tend to appear. This paper proposes a pragmatic coverage model based on cross coverage. We address the verification on user specified cross coverage regions. The proposed analysis models the probability of exposing the bug within a given number of samplings, and derives the expected number of samples until bug detection. The approach is applicable to random, round-robin, and hybrid sampling strategies in recurring and nonrecurring cases based on our cross coverage model. We have written Matlab and C programs that use our formulas to calculate the probabilities. Experimental results show that our analysis is consistent with Monte Carlo simulation.

Description

© Copyright 2015 IEEE - All rights reserved.

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Unaffiliated researchers can access the work here: http://dx.doi.org/10.1109/TC.2014.2360540

DOI

10.1109/TC.2014.2360540

Persistent Identifier

http://archives.pdx.edu/ds/psu/20910

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