2013Unpublished venueOpen access

Using Meta-code Generation to Realize Higher-order Model Transformations

Thomas Buchmann, Felix Schwägerl

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Abstract

Model-driven engineering is a wide-spread paradigm in modern software engineering.During the last couple of years, many tools and languages have been developed, which are especially designed for model transformations -a discipline which is needed in many model-driven engineering approaches.While most of the existing model-to-model tools and languages are tailored towards batch transformations for specific model instances, they lack support for generic transformation problems, where the metamodel is unknown beforehand.In this paper we present a two-step meta-code generation approach that derives a metamodel-specific modelto-model transformation from a model-to-text transformation.The approach has been successfully applied to the problem of product derivation in model-driven software product lines.

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What this paper is about

Model-driven engineering is a wide-spread paradigm in modern software engineering.During the last couple of years, many tools and languages have been developed, which are especially designed for model transformations -a discipline which is needed in many model-driven engineering approaches.While most of the existing model-to-model tools and languages are tailored towards batch transformations for specific model instances, they lack support for generic transformation problems, where the metamodel is unknown beforehand.In this paper we present a two-step meta-code generation approach that derives a metamodel-specific modelto-model transformation from a model-to-text transformation.The approach has been successfully applied to the problem of product derivation in model-driven software product lines.

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Available abstract

Model-driven engineering is a wide-spread paradigm in modern software engineering.During the last couple of years, many tools and languages have been developed, which are especially designed for model transformations -a discipline which is needed in many model-driven engineering approaches.While most of the existing model-to-model tools and languages are tailored towards batch transformations for specific model instances, they lack support for generic transformation problems, where the metamodel is unknown beforehand.In this paper we present a two-step meta-code generation approach that derives a metamodel-specific modelto-model transformation from a model-to-text transformation.The approach has been successfully applied to the problem of product derivation in model-driven software product lines.

Key concepts: Computer science, Code generation, Code (set theory), Metamodeling, Order (exchange), Programming language, Model transformation, Operating system

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