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...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2009-01-01
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| Series: | International Journal of Telemedicine and Applications |
| Online Access: | http://dx.doi.org/10.1155/2009/917826 |
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| _version_ | 1832567622020890624 |
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| author | Arash Shaban-Nejad Olga Ormandjieva Mohamad Kassab Volker Haarslev |
| author_facet | Arash Shaban-Nejad Olga Ormandjieva Mohamad Kassab Volker Haarslev |
| author_sort | Arash Shaban-Nejad |
| collection | DOAJ |
| 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 | Article |
| id | doaj-art-d24bf95026cb44b08e5b0a4d1728a1a9 |
| institution | Kabale University |
| issn | 1687-6415 1687-6423 |
| language | English |
| publishDate | 2009-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | International Journal of Telemedicine and Applications |
| spelling | doaj-art-d24bf95026cb44b08e5b0a4d1728a1a92025-02-03T01:01:04ZengWileyInternational Journal of Telemedicine and Applications1687-64151687-64232009-01-01200910.1155/2009/917826917826Managing Requirement Volatility in an Ontology-Driven Clinical LIMS Using Category TheoryArash Shaban-Nejad0Olga Ormandjieva1Mohamad Kassab2Volker Haarslev3Department of Computer Science and Software Engineering, Concordia University, 1455 de Maisonneuve Boulevard West, Montreal, QC, H3G 1M8, CanadaDepartment of Computer Science and Software Engineering, Concordia University, 1455 de Maisonneuve Boulevard West, Montreal, QC, H3G 1M8, CanadaDepartment of Computer Science and Software Engineering, Concordia University, 1455 de Maisonneuve Boulevard West, Montreal, QC, H3G 1M8, CanadaDepartment of Computer Science and Software Engineering, Concordia University, 1455 de Maisonneuve Boulevard West, Montreal, QC, H3G 1M8, CanadaRequirement 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.http://dx.doi.org/10.1155/2009/917826 |
| spellingShingle | Arash Shaban-Nejad Olga Ormandjieva Mohamad Kassab Volker Haarslev Managing Requirement Volatility in an Ontology-Driven Clinical LIMS Using Category Theory International Journal of Telemedicine and Applications |
| 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 |
| url | http://dx.doi.org/10.1155/2009/917826 |
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