Research output per year
Research output per year
Renata Guizzardi*, Glenda Amaral, Giancarlo Guizzardi, John Mylopoulos
Research output: Chapter in Book/Report/Conference proceeding › Chapter › Academic › peer-review
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 language | English |
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Title of host publication | Enterprise, Business-Process and Information Systems Modeling |
Publisher | Springer Science + Business Media |
Pages | 221-236 |
Number of pages | 16 |
ISBN (Electronic) | 978-3-031-07475-2 |
ISBN (Print) | 978-3-031-07474-5 |
DOIs | |
Publication status | Published - 30 May 2022 |
Event | 34th International Conference on Advanced Information Systems Engineering, CAiSE 2022 - Leuven, Belgium Duration: 6 Jun 2022 → 10 Jun 2022 Conference number: 34 |
Name | Lecture Notes in Business Information Processing |
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Volume | 450 |
ISSN (Print) | 1865-1348 |
ISSN (Electronic) | 1865-1356 |
Conference | 34th International Conference on Advanced Information Systems Engineering, CAiSE 2022 |
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Abbreviated title | CAiSE |
Country/Territory | Belgium |
City | Leuven |
Period | 6/06/22 → 10/06/22 |
Research output: Working paper › Preprint › Academic