Title: A Dublin core application profile for documenting analysis patterns in a reuse infrastructure

Authors: Lucas Francisco da Matta Vegi; Jugurta Lisboa-Filho; Joep Crompvoets; Liziane Santos Soares; José Luís Braga

Addresses: Department of Informatics, Federal University of Viçosa (UFV), Viçosa, MG, 36.5700-00, Brazil ' Department of Informatics, Federal University of Viçosa (UFV), Viçosa, MG, 36.5700-00, Brazil ' Public Management Institute, Katholieke Universiteit Leuven, Parkstraat 45, Bus 3609, 3000 Leuven, Belgium ' Department of Informatics, Federal University of Viçosa (UFV), Viçosa, MG, 36.570-000, Brazil ' Department of Informatics, Federal University of Viçosa (UFV), Viçosa, MG, 36.570-000, Brazil

Abstract: Analysis patterns are reusable computational artefacts aimed at the analysis stage of the software development process. Although analysis patterns can facilitate the work of analysts and developers, the access to them is still very poor because of the way they are usually described and made available. In order to reduce these limitations as well as to support the cataloguing and to encourage the reuse of analysis patterns, the Analysis Patterns Reuse Infrastructure (APRI) was proposed. This infrastructure comprises a repository of analysis patterns documented through a specific metadata profile that can be accessed via web services. Based on the proposal of APRI, this paper introduces a machine-processable metadata profile suited to the documentation of analysis patterns, called Dublin Core Application Profile for Analysis Patterns (DC2AP). This metadata profile is described by RDF files identified via URI, thus providing linked data that increase the potential for reusing the analysis patterns.

Keywords: analysis patterns; software reuse; metadata standards; Dublin core; semantic web; linked data; software development; web services; reusable computational artefacts; RDF files.

DOI: 10.1504/IJMSO.2013.058403

International Journal of Metadata, Semantics and Ontologies, 2013 Vol.8 No.4, pp.267 - 281

Received: 22 Feb 2013
Accepted: 01 Jul 2013

Published online: 14 Oct 2014 *

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