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GUITAR: An ontology-based automated requirements analysis tool

Nguyen, Tuong Huan, Grundy, John and Almorsy, Mohamed 2014, GUITAR: An ontology-based automated requirements analysis tool, in RE 2014 : Proceedings of the 22nd International Requirements Engineering Conference, IEEE, Piscataway, N.J., pp. 315-316, doi: 10.1109/RE.2014.6912274.

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Title GUITAR: An ontology-based automated requirements analysis tool
Author(s) Nguyen, Tuong Huan
Grundy, JohnORCID iD for Grundy, John orcid.org/0000-0003-4928-7076
Almorsy, Mohamed
Conference name Requirements Engineering. Conference (22nd : 2014 : Karlskrona, Sweden)
Conference location Karlskrona, Sweden
Conference dates 25-29 Aug. 2014
Title of proceedings RE 2014 : Proceedings of the 22nd International Requirements Engineering Conference
Editor(s) [Unknown]
Publication date 2014
Start page 315
End page 316
Total pages 2
Publisher IEEE
Place of publication Piscataway, N.J.
Keyword(s) Science & Technology
Technology
Computer Science, Information Systems
Computer Science, Software Engineering
Computer Science
Goal-oriented requirements engineering
Use case
Ontology-based requirements analysis
incorrectness
incompleteness
inconsistency
detection and resolution
Summary Combining goal-oriented and use case modeling has been proven to be an effective method in requirements elicitation and elaboration. However, current requirements engineering approaches generally lack reliable support for automated analysis of such modeled artifacts. To address this problem, we have developed GUITAR, a tool which delivers automated detection of incorrectness, incompleteness and inconsistency between artifacts. GUITAR is based on our goal-use case integration meta-model and ontologies of domain knowledge and semantics. GUITAR also provides comprehensive explanations for detected problems and can suggest resolution alternatives.
ISBN 9781479930333
Language eng
DOI 10.1109/RE.2014.6912274
Field of Research 080309 Software Engineering
Socio Economic Objective 890202 Application Tools and System Utilities
HERDC Research category E1.1 Full written paper - refereed
ERA Research output type E Conference publication
Copyright notice ©2014, IEEE
Persistent URL http://hdl.handle.net/10536/DRO/DU:30081825

Document type: Conference Paper
Collection: School of Information Technology
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