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  5. Ontology-based multiperspective requirements traceability framework
 
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Ontology-based multiperspective requirements traceability framework

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Author(s)
Namfon Assawamekin
Sunetnanta, T.
Pluempitiwiriyawej, C.
Other Contributor(s)
University of the Thai Chamber of Commerce. Research Support Office
Publisher(s)
Scopus
University of the Thai Chamber of Commerce
Date Issued
2011
Resource Type
Text::Journal::Journal article
Language
English
Abstract
Largescaled software development inevitably involves a group of stakeholders, each of whom may express their requirements differently in their own terminology and representation depending on their perspectives or perceptions of their shared problems.In view of that, the heterogeneity must be well handled and resolved in tracing and managing changes of such requirements.This paper presents our multiperspective requirements traceability (MUPRET) framework which deploys ontology as a knowledge management mechanism to intervene mutual "understanding" without restricting the freedom in expressing requirements differently. Ontology matching is applied as a reasoning mechanism in automatically generating traceability relationships. The relationships are identified by deriving semantic analogy of ontology concepts representing requirements elements. The precision and recall of traceability relationships generated by the framework are verified by comparing with a set of traceability relationships manually identified by users as a proofofconcept of this framework.
Subject(s)
Computer Science
Keywords(s)
  • Knowledge management

  • Multiperspective soft...

  • Ontology

  • Requirements traceabi...

Access Rights
public
Rights
This work is protected by copyright. Reproduction or distribution of the work in any format is prohibited without written permission of the copyright owner.
Rights Holder
University of the Thai Chamber of Commerce
Bibliographic Citation
N. Assawamekin, T. Sunetnanta, C. Pluempitiwiriyawej (2011) Ontologybased multiperspective requirements traceability framework. Knowledge and Information Systems Vol.25 No.3, 493-522.
URI
https://hdl.handle.net/20.500.14437/3572
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