Trustworthiness Requirements: The Pix Case Study

Glenda Amaral; Renata Guizzardi - Silva Souza; Giancarlo Guizzardi; John Mylopoulos

doi:10.1007/978-3-030-89022-3_21

Trustworthiness Requirements: The Pix Case Study

Glenda Amaral
, Renata Guizzardi - Silva Souza
, Giancarlo Guizzardi
, John Mylopoulos

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

11 Citations (Scopus)

259 Downloads (Pure)

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	https://doi.org/10.1007/978-3-030-89022-3_21
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	https://www.er2021.org/index.html

Keywords

Requirements elicitation and analysis
Trustworthiness requirements
Unified Foundational Ontology (UFO)
2024 OA procedure

Access to Document

10.1007/978-3-030-89022-3_21

ArticleFinal published version, 1.95 MBLicence: Taverne

Cite this

Amaral, G., Guizzardi - Silva Souza, R., Guizzardi, G., & Mylopoulos, J. (2021). Trustworthiness Requirements: The Pix Case Study. In A. Ghose, J. Horkoff, V. E. Silva Souza, J. Parsons, & J. Evermann (Eds.), Conceptual Modeling: 40th International Conference, ER 2021, Virtual Event, October 18–21, 2021, Proceedings (pp. 257-267). (Lecture Notes in Computer Science; Vol. 13011). Springer. https://doi.org/10.1007/978-3-030-89022-3_21

Amaral, Glenda ; Guizzardi - Silva Souza, Renata ; Guizzardi, Giancarlo et al. / Trustworthiness Requirements : The Pix Case Study. Conceptual Modeling: 40th International Conference, ER 2021, Virtual Event, October 18–21, 2021, Proceedings. editor / Aditya Ghose ; Jennifer Horkoff ; Vítor E. Silva Souza ; Jeffrey Parsons ; Joerg Evermann. Cham : Springer, 2021. pp. 257-267 (Lecture Notes in Computer Science).

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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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note = "Funding Information: 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. Publisher Copyright: {\textcopyright} 2021, Springer Nature Switzerland AG.; 40th International Conference on Conceptual Modeling, ER 2021, ER 2021 ; Conference date: 18-10-2021 Through 21-10-2021",

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Amaral, G, Guizzardi - Silva Souza, R , Guizzardi, G & Mylopoulos, J 2021, Trustworthiness Requirements: The Pix Case Study. in A Ghose, J Horkoff, VE Silva Souza, J Parsons & J Evermann (eds), Conceptual Modeling: 40th International Conference, ER 2021, Virtual Event, October 18–21, 2021, Proceedings. Lecture Notes in Computer Science, vol. 13011, Springer, Cham, pp. 257-267, 40th International Conference on Conceptual Modeling, ER 2021, Virtual, Online, Canada, 18/10/21. https://doi.org/10.1007/978-3-030-89022-3_21

Trustworthiness Requirements: The Pix Case Study. / Amaral, Glenda; Guizzardi - Silva Souza, Renata ; Guizzardi, Giancarlo et al.
Conceptual Modeling: 40th International Conference, ER 2021, Virtual Event, October 18–21, 2021, Proceedings. ed. / Aditya Ghose; Jennifer Horkoff; Vítor E. Silva Souza; Jeffrey Parsons; Joerg Evermann. Cham: Springer, 2021. p. 257-267 (Lecture Notes in Computer Science; Vol. 13011).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

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T1 - Trustworthiness Requirements

T2 - 40th International Conference on Conceptual Modeling, ER 2021

AU - Amaral, Glenda

AU - Guizzardi - Silva Souza, Renata

AU - Guizzardi, Giancarlo

AU - Mylopoulos, John

N1 - Conference code: 40

PY - 2021/10/16

Y1 - 2021/10/16

N2 - 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.

AB - 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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BT - Conceptual Modeling

A2 - Ghose, Aditya

A2 - Horkoff, Jennifer

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PB - Springer

CY - Cham

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ER -

Amaral G, Guizzardi - Silva Souza R , Guizzardi G, Mylopoulos J. Trustworthiness Requirements: The Pix Case Study. In Ghose A, Horkoff J, Silva Souza VE, Parsons J, Evermann J, editors, Conceptual Modeling: 40th International Conference, ER 2021, Virtual Event, October 18–21, 2021, Proceedings. Cham: Springer. 2021. p. 257-267. (Lecture Notes in Computer Science). doi: 10.1007/978-3-030-89022-3_21

Trustworthiness Requirements: The Pix Case Study

Abstract

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Keywords

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Towards an Ontology-Driven Approach for Process-Aware Risk Propagation

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