Eliciting Ethicality Requirements Using the Ontology-Based Requirements Engineering Method

Renata Guizzardi*, Glenda Amaral, Giancarlo Guizzardi, John Mylopoulos

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

1 Citation (Scopus)
34 Downloads (Pure)


The advent of socio-technical, cyber-physical and Artificial Intelligence (AI) systems has broadened the scope of requirements engineering which must now deal with new classes of requirements, concerning ethics, privacy and trust. Unfortunately, requirements engineers cannot be expected to understand the qualities behind these new classes of systems so that they can conduct elicitation, analysis and operationalization. To address this issue, we propose a methodology for conducting requirements engineering which starts with the adoption of an ontology for a quality domain, such as ethicality, privacy or trustworthiness, populates the ontology for the system-to-be and conducts requirements analysis grounded on the populated ontology. We illustrate our proposal with ethicality requirements.
Original languageEnglish
Title of host publicationEnterprise, Business-Process and Information Systems Modeling
Subtitle of host publication23rd International Conference, BPMDS 2022 and 27th International Conference, EMMSAD 2022, Held at CAiSE 2022, Leuven, Belgium, June 6-7, 2022, Proceedings
EditorsAdriano Augusto, Asif Gill, Dominik Bork, Selmin Nurcan, Iris Reinhartz-Berger, Rainer Schmidt
Place of PublicationCham
Number of pages16
ISBN (Electronic)978-3-031-07475-2
ISBN (Print)978-3-031-07474-5
Publication statusPublished - 30 May 2022
Event34th International Conference on Advanced Information Systems Engineering, CAiSE 2022 - Leuven, Belgium
Duration: 6 Jun 202210 Jun 2022
Conference number: 34

Publication series

NameLecture Notes in Business Information Processing
ISSN (Print)1865-1348
ISSN (Electronic)1865-1356


Conference34th International Conference on Advanced Information Systems Engineering, CAiSE 2022
Abbreviated titleCAiSE


  • Ethical requirements
  • Foundational ontologies
  • Requirements elicitation and analysis
  • 2023 OA procedure

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