KBRE: A framework for knowledge-based requirements engineering
Version 2 2024-06-13, 09:39Version 2 2024-06-13, 09:39
Version 1 2016-02-25, 13:12Version 1 2016-02-25, 13:12
journal contribution
posted on 2024-06-13, 09:39authored byTH Nguyen, BQ Vo, M Lumpe, J Grundy
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.
History
Journal
Software quality journal
Volume
22
Pagination
87-119
Location
Berlin, Germany
ISSN
0963-9314
eISSN
1573-1367
Language
eng
Publication classification
C Journal article, C1.1 Refereed article in a scholarly journal