A Combinatorial test data generation approach using fault data analysis and discretization of parameter input space

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2018
Bosnalı, Hakan
Combinatorial Testing is an efficient testing strategy. It is based on the idea that many faults are caused by interactions between a relatively small number of parameters. However, determining the right interaction strength to generate data for different software is an issue in terms of efficiency. In addition to that, it requires the inputs in a discrete form, while that is not always the case. We propose a new combinatorial test data generator tool that combines fault data analysis to determine the right interaction strength for the specific domain of software and transformation of the continuous input space of parameters into discrete using well known test techniques. With this new tool, it is aimed to minimize test costs, while maximizing the confidence in test data. Experiments made with the tool support this idea with results showing a significant increase in test efficiency.
Citation Formats
H. Bosnalı, “A Combinatorial test data generation approach using fault data analysis and discretization of parameter input space,” M.S. - Master of Science, Middle East Technical University, 2018.