Fifth International Conference on Information Technology: New Generations (itng 2008) Combinatorial Test Case Selection with Markovian Usage Models April 07-April 09 ISBN: 978-0-7695-3099-4
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ITNG.2008.80
A method of using Markov chain techniques for combinatorial test case selection is presented. The method can be used for statistical and coverage testing of many software programs, in particular for scientific computational software. The central point of the approach is modeling of dependencies between input parameters. Several different types of such dependencies are considered and models for each situation are created. Based on these models, test cases can be automatically generated and executed. Results of using the JUMBL tool for analyzing models and generating test cases are described.
Index Terms:
software testing, test case selection, test case generation, Markov chain, input parameters
Citation:
Sergiy A. Vilkomir, W. Thomas Swain, Jesse H. Poore, "Combinatorial Test Case Selection with Markovian Usage Models," itng, pp.3-8, Fifth International Conference on Information Technology: New Generations (itng 2008), 2008 Usage of this product signifies your acceptance of the Terms of Use. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||