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Issue No. 03 - May/June (2008 vol. 25)
ISSN: 0740-7459
pp: 10-13
Arilo Dias Neto , COPPE/Federal University of Rio de Janeiro
Rajesh Subramanyan , Siemens Corporate Research
Forrest Shull , Fraunhofer Center for Experimental Software Engineering, Maryland
Guilherme Horta Travassos , COPPE/Federal University of Rio de Janeiro
Marlon Vieira , Siemens Corporate Research
ABSTRACT
Model-based testing (MBT) approaches help automatically generate test cases using models extracted from software artifacts, and hold the promise to greatly affect how we build software. A review of the literature shows that certain specialized domains are applying MBT, but it does not yet seem to be a mainstream approach. The authors therefore conducted a systematic review of the literature to investigate how much evidence is available on MBT's costs and benefits, especially regarding how these techniques compare to other common testing approaches. They use these results to derive suggestions regarding what types of studies might further increase the deployment of these techniques.
INDEX TERMS
empirical study, model-based testing, systematic review
CITATION
Arilo Dias Neto, Rajesh Subramanyan, Forrest Shull, Guilherme Horta Travassos, Marlon Vieira, "Improving Evidence about Software Technologies: A Look at Model-Based Testing", IEEE Software, vol. 25, no. , pp. 10-13, May/June 2008, doi:10.1109/MS.2008.64
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