KBRE: a framework for knowledge-based requirements engineering

Nguyen, Tuong Huan, Vo, Bao Quoc, Lumpe, Markus and Grundy, John 2014, KBRE: a framework for knowledge-based requirements engineering, Software quality journal, vol. 22, no. 1, pp. 87-119, doi: 10.1007/s11219-013-9202-6.

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Title KBRE: a framework for knowledge-based requirements engineering
Author(s) Nguyen, Tuong Huan
Vo, Bao Quoc
Lumpe, Markus
Grundy, JohnORCID iD for Grundy, John orcid.org/0000-0003-4928-7076
Journal name Software quality journal
Volume number 22
Issue number 1
Start page 87
End page 119
Total pages 33
Publisher Springer
Place of publication Berlin, Germany
Publication date 2014-03
ISSN 0963-9314
Keyword(s) Science & Technology
Computer Science, Software Engineering
Computer Science
Requirements engineering
Description logics
Manchester OWL Syntax
Summary Detecting inconsistencies is a critical part of requirements engineering (RE) and has been a topic of interest for several decades. Domain knowledge and semantics of requirements not only play important roles in elaborating requirements but are also a crucial way to detect conflicts among them. In this paper, we present a novel knowledge-based RE framework (KBRE) in which domain knowledge and semantics of requirements are central to elaboration, structuring, and management of captured requirements. Moreover, we also show how they facilitate the identification of requirements inconsistencies and other-related problems. In our KBRE model, description logic (DL) is used as the fundamental logical system for requirements analysis and reasoning. In addition, the application of DL in the form of Manchester OWL Syntax brings simplicity to the formalization of requirements while preserving sufficient expressive power. A tool has been developed and applied to an industrial use case to validate our approach.
Language eng
DOI 10.1007/s11219-013-9202-6
Field of Research 080309 Software Engineering
Socio Economic Objective 890202 Application Tools and System Utilities
HERDC Research category C1.1 Refereed article in a scholarly journal
ERA Research output type C Journal article
Copyright notice ©2014, Springer
Persistent URL http://hdl.handle.net/10536/DRO/DU:30081727

Document type: Journal Article
Collections: School of Information Technology
2018 ERA Submission
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