Abstract
The advent of socio-technical, cyber-physical and artificial intelligence systems has broadened the scope of requirements engineering, which must now deal with new classes of requirements, concerning ethics, privacy and trust. This brings new challenges to Requirements Engineering, in particular regarding the understanding of the non-functional requirements behind these new types of systems. To address this issue, we propose the Ontology-based Requirements Engineering (ObRE) method, which aims to systematize the elicitation and analysis of requirements, by using an ontology to conceptually clarify the meaning of a class of requirements, such as privacy, ethicality and trustworthiness. We illustrate the working of ObRE by applying it to a real case study concerning trustworthiness requirements.
Original language | English |
---|---|
Title of host publication | Conceptual Modeling |
Subtitle of host publication | 40th International Conference, ER 2021, Virtual Event, October 18–21, 2021, Proceedings |
Editors | Aditya Ghose, Jennifer Horkoff, Vítor E. Silva Souza, Jeffrey Parsons, Joerg Evermann |
Place of Publication | Cham |
Publisher | Springer |
Pages | 257-267 |
Number of pages | 11 |
ISBN (Electronic) | 978-3-030-89022-3 |
ISBN (Print) | 978-3-030-89021-6 |
DOIs | |
Publication status | Published - 16 Oct 2021 |
Event | 40th International Conference on Conceptual Modeling, ER 2021 - Virtually, Virtual, Online, Canada Duration: 18 Oct 2021 → 21 Oct 2021 Conference number: 40 https://www.er2021.org/index.html |
Publication series
Name | Lecture Notes in Computer Science |
---|---|
Publisher | Springer |
Volume | 13011 |
ISSN (Print) | 0302-9743 |
ISSN (Electronic) | 1611-3349 |
Conference
Conference | 40th International Conference on Conceptual Modeling, ER 2021 |
---|---|
Abbreviated title | ER 2021 |
Country/Territory | Canada |
City | Virtual, Online |
Period | 18/10/21 → 21/10/21 |
Internet address |
Keywords
- Requirements elicitation and analysis
- Trustworthiness requirements
- Unified Foundational Ontology