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Software Semantic Provisioning - Actually Reusing Software.

Authors: Sguera, S; Ombredanne, P; STELLATO, ARMANDO; PAZIENZA, MARIA TERESA;

Software Semantic Provisioning - Actually Reusing Software.

Abstract

Delivering component-oriented architectures is a well-established trend in software engineering and development. Assessing software reuse scenarios goes much beyond the usual "build vs buy" dilemma that so often occurs in early stages of a software process: scouting, comparing, choosing and integrating the right set of components meeting project's requirements is still an ad-hoc and error-prone task, performed by developers with little or no frameworks and tools to support them. This paper describes the SSP (Software Semantic Provisioning) project, funded in its early stages by GoogleTM Inc., developed during the Google Summer of CodeTM 2007 program, and incubated by the Eclipse Software Foundation; the project aims to provide an ontological description of the software domain to underlie a semantic web framework to support developers in scouting and provisioning software components. A prototypical RESTful semantic repository, and an Eclipse plug-in consuming the repository services have been implemented and will be discussed.

Country
Italy
Related Organizations
Keywords

020, Component provisioning; Component-oriented architectures; Semantic web services; Software reuse; Computer Science Applications1707 Computer Vision and Pattern Recognition; Software, Semantic web service, Software reuse, Computer Science (all), Computer Science Applications1707 Computer Vision and Pattern Recognition, Settore ING-INF/05 - SISTEMI DI ELABORAZIONE DELLE INFORMAZIONI, 303, Component provisioning, Component-oriented architecture, Settore INF/01 - INFORMATICA, Software

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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!
0
Average
Average
Average
Green