The PROGRES approach: language and environment
Handbook of graph grammars and computing by graph transformation
SCAM '02 Proceedings of the Second IEEE International Workshop on Source Code Analysis and Manipulation
Benchmarking for Graph Transformation
VLHCC '05 Proceedings of the 2005 IEEE Symposium on Visual Languages and Human-Centric Computing
The MT model transformation language
Proceedings of the 2006 ACM symposium on Applied computing
The TXL source transformation language
Science of Computer Programming - The fourth workshop on language descriptions, tools, and applications (LDTA'04)
TCS:: a DSL for the specification of textual concrete syntaxes in model engineering
Proceedings of the 5th international conference on Generative programming and component engineering
SCAM '06 Proceedings of the Sixth IEEE International Workshop on Source Code Analysis and Manipulation
Electronic Notes in Theoretical Computer Science (ENTCS)
A General Approach for Scenario Integration
MoDELS '08 Proceedings of the 11th international conference on Model Driven Engineering Languages and Systems
Practical declarative model transformation with tefkat
MoDELS'05 Proceedings of the 2005 international conference on Satellite Events at the MoDELS
Recovering role-based access control security models from dynamic web applications
ICWE'12 Proceedings of the 12th international conference on Web Engineering
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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.