Computationally efficient ontology selection in software requirement planning

R. B. K. Brown, G. Beydoun (), G. Low, W. Tibben, R. Zamani, F. García-Sánchez and R. Martinez-Bejar
Additional contact information
R. B. K. Brown: University of Wollongong
G. Beydoun: University of Wollongong
G. Low: University of New South Wales
W. Tibben: University of Wollongong
R. Zamani: University of Wollongong
F. García-Sánchez: University of Valencia
R. Martinez-Bejar: University of Valencia

Information Systems Frontiers, 2016, vol. 18, issue 2, No 9, 349-358

Abstract: 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.

Keywords: Requirements; Ontologies; Process models; Retrieval tool (search for similar items in EconPapers)
Date: 2016
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

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DOI: 10.1007/s10796-014-9540-3

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