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https://doi.org/10.1...arrow_drop_down
https://doi.org/10.1007/119661...
Part of book or chapter of book . 2006 . Peer-reviewed
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DBLP
Conference object . 2024
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Introspective Model-Driven Development

Authors: Thomas Büchner; Florian Matthes;

Introspective Model-Driven Development

Abstract

In this paper, we propose a new approach to model-driven development, which we call introspective model-driven development (IMDD). This approach relies heavily on some well-understood underlying abstractions, in order to bridge the abstraction gap between the requirements and the actual executable system. These abstractions are object-oriented programming languages and frameworks as a means of architectural abstraction. The main idea of IMDD is to annotate the extension points of a framework explicitly, which enables the automatic introspection of the defined metamodel. In a second step, a model of the customizations can be obtained by model introspection. There are two kinds of introspective frameworks – introspective blackbox and introspective whitebox frameworks. We developed an extension of the Eclipse IDE, which supports introspective model-driven development. Furthermore, we discuss the characteristics of the proposed approach, compared to established generative approaches.

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Powered by OpenAIRE graph
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
6
Average
Top 10%
Average
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