Cardiff University | Prifysgol Caerdydd ORCA
Online Research @ Cardiff 
WelshClear Cookie - decide language by browser settings

Robust requirements gathering for ontologies in smart water systems

Howell, Shaun, Beach, Thomas ORCID: and Rezgui, Yacine ORCID: 2021. Robust requirements gathering for ontologies in smart water systems. Requirements Engineering 26 , pp. 97-114. 10.1007/s00766-020-00335-z

[thumbnail of Howell2020_Article_RobustRequirementsGatheringFor.pdf]
PDF - Published Version
Available under License Creative Commons Attribution.

Download (1MB) | Preview


Urban environments are urgently required to become smarter in order to overcome sustainability and resilience challenges whilst remaining economically viable. This involves a vast increase in the penetration of ICT resources, both physical and virtual, with the requirement to factor in built environment, socio-economic and human artefacts. This paper therefore proposes a methodology for eliciting, testing, and deploying, requirements in the field of urban cybernetics. This extends best practice requirements engineering principles in order to meet the demands of this growing niche. The paper follows a case study approach of applying the methodology in the smart water domain, where it achieves positive results. The approach heavily utilises iteration alongside domain experts, but also mandates the integration of technical domain experts to ensure software requirements are met. A key novelty of the approach is prioritising a balance between: a) knowledge engineers’ tenacity for logical accuracy, b) software engineers’ need for speed, simplicity, and integration with other components, and c) the domain experts’ needs in order to invoke ownership and hence nurture adoption of the resulting ontology.

Item Type: Article
Date Type: Publication
Status: Published
Schools: Engineering
Publisher: Springer Verlag (Germany)
ISSN: 0947-3602
Date of First Compliant Deposit: 1 July 2020
Date of Acceptance: 29 May 2020
Last Modified: 05 May 2023 23:12

Citation Data

Cited 3 times in Scopus. View in Scopus. Powered By Scopus® Data

Actions (repository staff only)

Edit Item Edit Item


Downloads per month over past year

View more statistics