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Managing Requirement Volatility in an Ontology-Driven Clinical LIMS Using Category Theory
Joint Authors
Ormandjieva, Olga
Haarslev, Volker
Shaban-Nejad, Arash
Kassab, Mohamad
Source
International Journal of Telemedicine and Applications
Issue
Vol. 2009, Issue 2009 (31 Dec. 2009), pp.1-14, 14 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2009-03-30
Country of Publication
Egypt
No. of Pages
14
Main Subjects
Abstract EN
Requirement volatility is an issue in software engineering in general, and in Web-based clinical applications in particular, which often originates from an incomplete knowledge of the domain of interest.
With advances in the health science, many features and functionalities need to be added to, or removed from, existing software applications in the biomedical domain.
At the same time, the increasing complexity of biomedical systems makes them more difficult to understand, and consequently it is more difficult to define their requirements, which contributes considerably to their volatility.
In this paper, we present a novel agent-based approach for analyzing and managing volatile and dynamic requirements in an ontology-driven laboratory information management system (LIMS) designed for Web-based case reporting in medical mycology.
The proposed framework is empowered with ontologies and formalized using category theory to provide a deep and common understanding of the functional and nonfunctional requirement hierarchies and their interrelations, and to trace the effects of a change on the conceptual framework.
American Psychological Association (APA)
Shaban-Nejad, Arash& Ormandjieva, Olga& Kassab, Mohamad& Haarslev, Volker. 2009. Managing Requirement Volatility in an Ontology-Driven Clinical LIMS Using Category Theory. International Journal of Telemedicine and Applications،Vol. 2009, no. 2009, pp.1-14.
https://search.emarefa.net/detail/BIM-507990
Modern Language Association (MLA)
Shaban-Nejad, Arash…[et al.]. Managing Requirement Volatility in an Ontology-Driven Clinical LIMS Using Category Theory. International Journal of Telemedicine and Applications No. 2009 (2009), pp.1-14.
https://search.emarefa.net/detail/BIM-507990
American Medical Association (AMA)
Shaban-Nejad, Arash& Ormandjieva, Olga& Kassab, Mohamad& Haarslev, Volker. Managing Requirement Volatility in an Ontology-Driven Clinical LIMS Using Category Theory. International Journal of Telemedicine and Applications. 2009. Vol. 2009, no. 2009, pp.1-14.
https://search.emarefa.net/detail/BIM-507990
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-507990