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This page is an abstract to the paper ``Refining the In-Parameter-Order Strategy for Constructing Covering Arrays'' by M. Forbes, J. Lawrence, Y. Lei, R. N. Kacker and D.R. Kuhn.
Covering arrays are structures for well-representing extremely large input spaces and are used to efficiently implement black-box testing for software and hardware. This paper proposes refinements over the In-Parameter-Order strategy (for arbitrary t). When constructing homogeneous-alphabet covering arrays, these refinements reduce runtime in nearly all cases by a factor of more than 5 and in some cases by factors as large as 280. This trend is increasing with the number of columns in the covering array. Moreover, the resulting covering arrays are about 5% smaller. Consequently, this new algorithm has constructed many covering arrays that are the smallest in the literature. A heuristic variant of the algorithm sometimes produces comparably sized covering arrays while running significantly faster.
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Last Updated: 2008-01-30
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