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DOI: 10.14569/IJACSA.2015.061234
PDF

A New Algorithm for Post-Processing Covering Arrays

Author 1: Carlos Lara-Alvarez
Author 2: Himer Avila-George

International Journal of Advanced Computer Science and Applications(ijacsa), Volume 6 Issue 12, 2015.

  • Abstract and Keywords
  • How to Cite this Article
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Abstract: Software testing is a critical component of modern software development. For this reason, it has been one of the most active research topics for several years, resulting in many different algorithms, methodologies and tools. Combinatorial testing is one of the most important testing strategies. The test generation problem for combinatorial testing can be modeled as constructing a matrix which has certain properties, typically this matrix is a covering array. The construction of covering arrays with the fewest rows remains a challenging problem. This paper proposes a post-processing technique that repeatedly adjusts the covering array in an attempt to reduce its number of rows. In the experiment, 85 covering arrays, created by a state-of-the-art algorithm, were subject to the reduction process. The results report a reduction in the size of 28 covering arrays (~33%).

Keywords: Software testing; Combinatorial testing; Covering arrays; Post-Processing

Carlos Lara-Alvarez and Himer Avila-George, “A New Algorithm for Post-Processing Covering Arrays” International Journal of Advanced Computer Science and Applications(ijacsa), 6(12), 2015. http://dx.doi.org/10.14569/IJACSA.2015.061234

@article{Lara-Alvarez2015,
title = {A New Algorithm for Post-Processing Covering Arrays},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2015.061234},
url = {http://dx.doi.org/10.14569/IJACSA.2015.061234},
year = {2015},
publisher = {The Science and Information Organization},
volume = {6},
number = {12},
author = {Carlos Lara-Alvarez and Himer Avila-George}
}



Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.

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