A practical evaluation of using TXL for model transformation

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Abstract

As one of the MDA's main principles, model transformation has led to the specification of QVT and a large number of model transformation tools. TXL is a generic source transformation tool that also possesses some very important model transformation properties, such as scalability and efficiency. In this paper, we consider TXL as a model transformation tool, especially, for model-to-model transformations. We first present an approach for applying TXL as a model transformation tool. An interesting feature of the approach is the automatic generation of TXL grammars from meta-models. Then, practical applications of model transformation via TXL that follow our approach are given. We conclude the paper with a preliminary evaluation of using TXL as a model transformation tool.

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Liang, H., & Dingel, J. (2009). A practical evaluation of using TXL for model transformation. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5452, pp. 245–264). https://doi.org/10.1007/978-3-642-00434-6_16

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