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https://doi.org/10.1109/tools....
Article . 2003 . Peer-reviewed
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A "framework" for object oriented frameworks design

Authors: Parsons, David; Rashid, Awais; Speck, Andreas; Telea, Alexandru;

A "framework" for object oriented frameworks design

Abstract

Object-oriented frameworks are established tools for domain-specific reuse. Many framework design patterns have been documented, e.g. reverse engineering framework architectures from conventionally built applications for a given domain. The framework development cycle generally evolves from open framework to closed application. We describe a more flexible component-based approach to framework design that stresses a common interface for ’plugging-in’ new components at different lifecycle stages. An analysis of framework-related user roles shows that the classical developer/end-user boundary is too rigid. We see the framework’s development as a continuum within which its ’actors’ can customise its behaviour. This both increases the system’s flexibility and reduces its maintenance requirement. A case study of three frameworks for different application domains illustrates the presented principles.

Keywords

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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!
11
Average
Top 10%
Average