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TrNET - A Model Trasnformation Language with Efficiency Concerns

TrNET is a framework, comprised of a language and its respective environment, designed to tackle the most performance critical operation of high-level model transformation languages: the pattern matching. This framework shows that it is possible to mitigate the performance penalty while still using high-level model transfor- mation languages. The current prototype was developed by Claudio Gomes in the context of his Master Thesis at FCT/UNL.


Date: 2013


Authors: Bruno Barroca, Vasco Amaral
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