Iterative Development of Transformation Models by Using Classifying Terms

In this paper we propose an iterative process for the correct specication of model transformations, i.e., for developing correct transformation models. This permits checking the correctness of a model transformation specication before any implementation is available. The proposal is based on the use of classifying terms for partitioning the input space and for simplifying the testing process.

• Type: Journal
• Year: 2015
• Where: MODELS
• Authors: Frank Hilken, Loli Burgueño, Martin Gogolla, Antonio Vallecillo
• Keywords: MODELS 2015, Natural Language Processing