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Part of book or chapter of book
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https://doi.org/10.1007/119661...
Part of book or chapter of book . 2006 . Peer-reviewed
License: Springer TDM
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Automating the Building of Software Component Architectures

Authors: Nicolas Desnos; Sylvain Vauttier; Christelle Urtado; Marianne Huchard;

Automating the Building of Software Component Architectures

Abstract

Assembling software components into an architecture is a difficult task because of its combinatorial complexity. There is thus a need for automating this building process, either to assist architects at design time or to manage the self-assembly of components at runtime. This paper proposes an automatic architecture building process that uses ports, and more precisely composite ports, to manage the connection of components. Our solution extends the Fractal component model. It has been implemented and experiments have been run to verify its good time performance, thanks to several optimization heuristics and strategies.

  • BIP!
    Impact byBIP!
    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).
    3
    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.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
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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!
3
Average
Average
Average