Content area

Abstract

Issue Title: Special Issue: Realizing Artificial Intelligence Synergies in Software Engineering

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.[PUBLICATION ABSTRACT]

Details

Title
KBRE: a framework for knowledge-based requirements engineering
Author
Nguyen, Tuong Huan; Vo, Bao Quoc; Lumpe, Markus; Grundy, John
Pages
87-119
Publication year
2014
Publication date
Mar 2014
Publisher
Springer Nature B.V.
ISSN
09639314
e-ISSN
15731367
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
1497150533
Copyright
Springer Science+Business Media New York 2014