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Information Systems Frontiers
Erschienen in: Information Systems Frontiers 2/2016

01.04.2016

Computationally efficient ontology selection in software requirement planning

verfasst von: R. B. K. Brown, G. Beydoun, G. Low, W. Tibben, R. Zamani, F. García-Sánchez, R. Martinez-Bejar

Erschienen in: Information Systems Frontiers | Ausgabe 2/2016

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Abstract

Understanding the needs of stakeholders and prioritizing requirements are the vital steps in the development of any software application. Enabling tools to support these steps have a critical role in the success of the corresponding software application. Based on such a critical role, this paper presents a computationally efficient ontology selection in software requirement planning. The key point guiding the underlying design is that, once gathered, requirements need to be processed by decomposition towards the generation of a specified systems design. A representational framework allows for the expression of high level abstract conceptions under a single schema, which may then be made explicit in terms of axiomatic relations and expressed in a suitable ontology. The initial experimental results indicate that our framework for filtered selection of a suitable ontology operates in a computationally efficient manner.
Vorheriger Artikel Multidisciplinary approach to defining public e-procurement and evaluating its impact on procurement efficiency
Nächster Artikel Business process compliance checking – applying and evaluating a generic pattern matching approach for conceptual models in the financial sector

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Metadaten
Titel
Computationally efficient ontology selection in software requirement planning
verfasst von
R. B. K. Brown
G. Beydoun
G. Low
W. Tibben
R. Zamani
F. García-Sánchez
R. Martinez-Bejar
Publikationsdatum
01.04.2016
Verlag
Springer US
Erschienen in
Information Systems Frontiers / Ausgabe 2/2016
Print ISSN: 1387-3326
Elektronische ISSN: 1572-9419
DOI
https://doi.org/10.1007/s10796-014-9540-3

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