Abstracting Complex Languages through Transformation and Composition

Jendrik Johannes; Steffen Zschaler; Miguel A. Fernández; Antonio Castillo; Dimitrios S. Kolovos; Richard F. Paige

doi:10.1007/978-3-642-04425-0_41

Abstracting Complex Languages through Transformation and Composition

Jendrik Johannes, Steffen Zschaler, Miguel A. Fernández, Antonio Castillo, Dimitrios S. Kolovos, Richard F. Paige

Computer Science

Research output: Contribution to conference › Paper › peer-review

Abstract

Domain-specific languages (DSLs) can simplify the development of complex software systems by providing domain-specific abstractions. However, the complexity of some domains has led to a number of DSLs that are themselves complex, limiting the original benefits of using DSLs. We show how to develop DSLs as abstractions of other DSLs by transfering translational approaches for textual DSLs into the domain of modelling languages. We argue that existing model transformation languages are at too low a level of abstraction for succinctly expressing transformations between abstract and concrete DSLs. Patterns identified in such model transformations can be used to raise the level of abstraction. We show how we can allow part of the transformation to be expressed using the concrete syntax of the concrete DSL.

Original language	English
Pages	546-550
DOIs	https://doi.org/10.1007/978-3-642-04425-0_41
Publication status	Published - 2009

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10.1007/978-3-642-04425-0_41

http://dx.doi.org/10.1007/978-3-642-04425-0_41

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AU - Johannes, Jendrik

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AU - Fernández, Miguel A.

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AU - Kolovos, Dimitrios S.

AU - Paige, Richard F.

PY - 2009

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AB - Domain-specific languages (DSLs) can simplify the development of complex software systems by providing domain-specific abstractions. However, the complexity of some domains has led to a number of DSLs that are themselves complex, limiting the original benefits of using DSLs. We show how to develop DSLs as abstractions of other DSLs by transfering translational approaches for textual DSLs into the domain of modelling languages. We argue that existing model transformation languages are at too low a level of abstraction for succinctly expressing transformations between abstract and concrete DSLs. Patterns identified in such model transformations can be used to raise the level of abstraction. We show how we can allow part of the transformation to be expressed using the concrete syntax of the concrete DSL.

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ER -

Abstracting Complex Languages through Transformation and Composition

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