Detail

TrNET – A Model Transformation 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.