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Managing Requirement Volatility in an Ontology-Driven Clinical LIMS Using Category Theory
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 r...
Autores principales: | , , , |
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Formato: | Texto |
Lenguaje: | English |
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Hindawi Publishing Corporation
2009
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2662492/ https://www.ncbi.nlm.nih.gov/pubmed/19343191 http://dx.doi.org/10.1155/2009/917826 |
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author | Shaban-Nejad, Arash Ormandjieva, Olga Kassab, Mohamad Haarslev, Volker |
author_facet | Shaban-Nejad, Arash Ormandjieva, Olga Kassab, Mohamad Haarslev, Volker |
author_sort | Shaban-Nejad, Arash |
collection | PubMed |
description | 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. |
format | Text |
id | pubmed-2662492 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2009 |
publisher | Hindawi Publishing Corporation |
record_format | MEDLINE/PubMed |
spelling | pubmed-26624922009-04-02 Managing Requirement Volatility in an Ontology-Driven Clinical LIMS Using Category Theory Shaban-Nejad, Arash Ormandjieva, Olga Kassab, Mohamad Haarslev, Volker Int J Telemed Appl Research Article 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. Hindawi Publishing Corporation 2009 2009-03-30 /pmc/articles/PMC2662492/ /pubmed/19343191 http://dx.doi.org/10.1155/2009/917826 Text en Copyright © 2009 Arash Shaban-Nejad et al. https://creativecommons.org/licenses/by/3.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Shaban-Nejad, Arash Ormandjieva, Olga Kassab, Mohamad Haarslev, Volker Managing Requirement Volatility in an Ontology-Driven Clinical LIMS Using Category Theory |
title | Managing Requirement Volatility in an Ontology-Driven Clinical LIMS Using Category Theory |
title_full | Managing Requirement Volatility in an Ontology-Driven Clinical LIMS Using Category Theory |
title_fullStr | Managing Requirement Volatility in an Ontology-Driven Clinical LIMS Using Category Theory |
title_full_unstemmed | Managing Requirement Volatility in an Ontology-Driven Clinical LIMS Using Category Theory |
title_short | Managing Requirement Volatility in an Ontology-Driven Clinical LIMS Using Category Theory |
title_sort | managing requirement volatility in an ontology-driven clinical lims using category theory |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2662492/ https://www.ncbi.nlm.nih.gov/pubmed/19343191 http://dx.doi.org/10.1155/2009/917826 |
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