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Part of book or chapter of book . 2005 . Peer-reviewed
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Modelling Parametric Contracts and the State Space of Composite Components by Graph Grammars

Authors: Ralf Reussner; Annegret Habel; Jens Happe;

Modelling Parametric Contracts and the State Space of Composite Components by Graph Grammars

Abstract

Modeling the dependencies between provided and required services within a software component is necessary for several reasons, such as automated component adaptation and architectural dependency analysis. Parametric contracts for software components specify such dependencies and were successfully used for automated protocol adaptation and quality of service prediction. In this paper, a novel model for parametric contracts based on graph grammars is presented and a first definition of the compositionality of parametric contracts is given. Compared to the previously used finite state machine based formalism, the graph grammar formalism allows a more elegant formulation of parametric contract applications and considerably simpler implementations.

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