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.
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Notes
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This is a brief historical account intended to highlight the evolution of ideas and methods in RE. This account is not meant to be exhaustive; we acknowledge the existence of many other high impact RE methods, such as feature-based RE, recent methods based on CANVAS.
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The complete version of ROTwR in OntoUML and its implementation in OWL is available at https://purl.org/krdb-core/trustworthiness-requirements-ontology.
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The complete version of ROT in OntoUML and its implementation in OWL are available at http://purl.org/krdb-core/trust-ontology.
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Acknowledgments
This work is partially supported by CAPES (PhD grant# 88881.173022/2018-01) and NeXON project (UNIBZ). The authors would like to thank the Central Bank of Brazil for sharing their experience with the Pix project.
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Amaral, G., Guizzardi, R., Guizzardi, G., Mylopoulos, J. (2021). Trustworthiness Requirements: The Pix Case Study. In: Ghose, A., Horkoff, J., Silva Souza, V.E., Parsons, J., Evermann, J. (eds) Conceptual Modeling. ER 2021. Lecture Notes in Computer Science(), vol 13011. Springer, Cham. https://doi.org/10.1007/978-3-030-89022-3_21
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