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Software and Systems Modeling
Erschienen in: Software and Systems Modeling 3/2019

15.09.2017 | Regular Paper

A feature-based survey of model view approaches

verfasst von: Hugo Bruneliere, Erik Burger, Jordi Cabot, Manuel Wimmer

Erschienen in: Software and Systems Modeling | Ausgabe 3/2019

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Abstract

When dealing with complex systems, information is very often fragmented across many different models expressed within a variety of (modeling) languages. To provide the relevant information in an appropriate way to different kinds of stakeholders, (parts of) such models have to be combined and potentially revamped by focusing on concerns of particular interest for them. Thus, mechanisms to define and compute views over models are highly needed. Several approaches have already been proposed to provide (semi)automated support for dealing with such model views. This paper provides a detailed overview of the current state of the art in this area. To achieve this, we relied on our own experiences of designing and applying such solutions in order to conduct a literature review on this topic. As a result, we discuss the main capabilities of existing approaches and propose a corresponding research agenda. We notably contribute a feature model describing what we believe to be the most important characteristics of the support for views on models. We expect this work to be helpful to both current and potential future users and developers of model view techniques, as well as to any person generally interested in model-based software and systems engineering.
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Fußnoten
8
Note that comprehensive general-purpose modeling languages, such as UML, can be regarded as a composition of several domain-specific languages.
 
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Metadaten
Titel
A feature-based survey of model view approaches
verfasst von
Hugo Bruneliere
Erik Burger
Jordi Cabot
Manuel Wimmer
Publikationsdatum
15.09.2017
Verlag
Springer Berlin Heidelberg
Erschienen in
Software and Systems Modeling / Ausgabe 3/2019
Print ISSN: 1619-1366
Elektronische ISSN: 1619-1374
DOI
https://doi.org/10.1007/s10270-017-0622-9

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