2016Unpublished venueRequires access

Model transformation for end-user modelers with VMTL

Vlad Acreţoaie, Harald Störrle, Daniel Strüber

Open publisher page 3 citations

Abstract

Models facilitate communication between software development project stakeholders by providing abstraction and precision. The Model-Driven Engineering (MDE) paradigm goes one step further, placing model transformation at the heart of software development [3]. Consequently, many model transformation languages (MTLs) and tools have been developed in the context of MDE. Their origin has shaped them profoundly: the application scenarios, modeling languages and model types considered, intended audience and their required capabilities, available tools, and the topics attracting scientific interest all bear the marks of MDE.

About this research paper

What this paper is about

Models facilitate communication between software development project stakeholders by providing abstraction and precision. The Model-Driven Engineering (MDE) paradigm goes one step further, placing model transformation at the heart of software development [3]. Consequently, many model transformation languages (MTLs) and tools have been developed in the context of MDE. Their origin has shaped them profoundly: the application scenarios, modeling languages and model types considered, intended audience and their required capabilities, available tools, and the topics attracting scientific interest all bear the marks of MDE.

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OpenAlex reports 3 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

Models facilitate communication between software development project stakeholders by providing abstraction and precision. The Model-Driven Engineering (MDE) paradigm goes one step further, placing model transformation at the heart of software development [3]. Consequently, many model transformation languages (MTLs) and tools have been developed in the context of MDE. Their origin has shaped them profoundly: the application scenarios, modeling languages and model types considered, intended audience and their required capabilities, available tools, and the topics attracting scientific interest all bear the marks of MDE.

Key concepts: Model transformation, Model-driven architecture, Computer science, Abstraction, Context (archaeology), Transformation (genetics), Software engineering, Software development

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