DSL development based on target meta-models. Using AST transformations for automating semantic analysis in a textual DSL framework

dc.creatorBreslav, Andrey
dc.date2008-01-08
dc.date.accessioned2026-07-07T08:53:16Z
dc.date.available2026-07-07T08:53:16Z
dc.descriptionThis paper describes an approach to creating textual syntax for Do- main-Specific Languages (DSL). We consider target meta-model to be the main artifact and hence to be developed first. The key idea is to represent analysis of textual syntax as a sequence of transformations. This is made by explicit opera- tions on abstract syntax trees (ATS), for which a simple language is proposed. Text-to-model transformation is divided into two parts: text-to-AST (developed by openArchitectureWare [1]) and AST-to-model (proposed by this paper). Our approach simplifies semantic analysis and helps to generate as much as possi- ble.
dc.description15 pages, 3 figures
dc.identifierhttps://arxiv.org/abs/0801.1219
dc.identifierhttp://arxiv.org/abs/0801.1219
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/145563
dc.subjectProgramming Languages
dc.subjectD.3.4
dc.titleDSL development based on target meta-models. Using AST transformations for automating semantic analysis in a textual DSL framework
dc.typetext

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