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Qualifying input test data for model transformations
2007
Journal of Software and Systems Modeling
Model transformation is a core mechanism for model-driven engineering (MDE). Writing complex model transformations is error-prone, and efficient testing techniques are required as for any complex program development. Testing a model transformation is typically performed by checking the results of the transformation applied to a set of input models. While it is fairly easy to provide some input models, it is difficult to qualify the relevance of these models for testing. In this paper, we
doi:10.1007/s10270-007-0074-8
fatcat:kf7wslsfrfhkzmzyreqyjnb42e