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A Meta-Model for Enterprise Applications

Authors: Cristina Marinescu; Ioan Jurca;

A Meta-Model for Enterprise Applications

Abstract

In the last years, as object-oriented software systems became more and more complex, the need of performing automatically reverse engineering upon these systems has increased significantly. This applies also to enterprise applications, a novel category of software systems. As it is well known, one step toward a research infrastructure accelerating the progress of reverse engineering is the creation of an intermediate representation of software systems. This paper shows why existing intermediate representations of object-oriented software are not suitable for performing reverse engineering upon enterprise applications and proposes an intermediate representation (a model) for enterprise applications which facilitates the process of reverse engineering upon this type of applications. Based on an experimental study conducted on three enterprise applications, we prove the reliability of the introduced approach, discuss its benefits and touch the issues that need to be addressed in the future.

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    influence
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    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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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!
11
Average
Top 10%
Top 10%
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