Copyright © 2008 Shen Hui Wu et al. This is an open access article distributed under the
Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Abstract
Random testing requires each test to be selected randomly regardless of the tests previously
applied. This paper introduces the concept of antirandom testing where each test applied is
chosen such that its total distance from all previous tests is maximum. This spans the test
vector space to the maximum extent possible for a given number of vectors. An algorithm
for generating antirandom tests is presented. Compared with traditional pseudorandom testing,
antirandom testing is found to be very effective when a high-fault coverage needs to be
achieved with a limited number of test vectors. The superiority of the new approach is even
more significant for testing bridging faults.