abstract

Privacy by designers: software developers' privacy mindset

Authors:

Arod BalissaAuthors Info & Claims

ICSE '18: Proceedings of the 40th International Conference on Software Engineering

Page 396

https://doi.org/10.1145/3180155.3182531

Published: 27 May 2018 Publication History

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Abstract

Privacy by design (PbD) is a policy measure that calls for embedding privacy into the design of technologies at early stages of the development process and throughout its lifecycle. By introducing privacy considerations into the technological design, PbD delegates responsibility over privacy to those in charge of the design, namely software developers who design information technologies (hereafter called developers). Thus, for PbD to be a viable option, it is important to understand developers' perceptions, interpretation and practices as to informational privacy.

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Patel PGregersen TAnderson T(2024)An Agile Pathway Towards Carbon-Aware CloudsACM SIGEnergy Energy Informatics Review10.1145/3698365.36983684:3(10-17)Online publication date: 30-Sep-2024
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Song QHernandez RKou YGui X(2024)“Our Users' Privacy is Paramount to Us”: A Discourse Analysis of How Period and Fertility Tracking App Companies Address the Roe v Wade OverturnProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642384(1-21)Online publication date: 11-May-2024
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Negri-Ribalta CLombard-Platet MSalinesi C(2024)Understanding the GDPR from a requirements engineering perspective—a systematic mapping study on regulatory data protection requirementsRequirements Engineering10.1007/s00766-024-00423-4Online publication date: 10-Jul-2024
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Information & Contributors

Information

Published In

ICSE '18: Proceedings of the 40th International Conference on Software Engineering

May 2018

1307 pages

ISBN:9781450356381

DOI:10.1145/3180155

Conference Chair:
Michel Chaudron
Chalmers University of Technology, University of Gothenburg, Sweden
,
General Chair:
Ivica Crnkovic
Chalmers University of Technology, University of Gothenburg, Sweden
,
Program Chairs:
Marsha Chechik
University of Toronto, Canada
,
Mark Harman
Facebook and University College London, United Kingdom

Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 27 May 2018

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Abstract

Funding Sources

Israel Science Foundation

Conference

ICSE '18

Sponsor:

SIGSOFT
IEEE-CS

ICSE '18: 40th International Conference on Software Engineering

May 27 - June 3, 2018

Gothenburg, Sweden

Acceptance Rates

Overall Acceptance Rate 276 of 1,856 submissions, 15%

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Cited By

View all

Patel PGregersen TAnderson T(2024)An Agile Pathway Towards Carbon-Aware CloudsACM SIGEnergy Energy Informatics Review10.1145/3698365.36983684:3(10-17)Online publication date: 30-Sep-2024
https://doi.org/10.1145/3698365.3698368
Song QHernandez RKou YGui X(2024)“Our Users' Privacy is Paramount to Us”: A Discourse Analysis of How Period and Fertility Tracking App Companies Address the Roe v Wade OverturnProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642384(1-21)Online publication date: 11-May-2024
https://dl.acm.org/doi/10.1145/3613904.3642384
Negri-Ribalta CLombard-Platet MSalinesi C(2024)Understanding the GDPR from a requirements engineering perspective—a systematic mapping study on regulatory data protection requirementsRequirements Engineering10.1007/s00766-024-00423-4Online publication date: 10-Jul-2024
https://doi.org/10.1007/s00766-024-00423-4
Patel PGregersen TAnderson TChien AEilam TPorter GAnderson TJosephson CPark J(2023)An Agile Pathway Towards Carbon-aware CloudsProceedings of the 2nd Workshop on Sustainable Computer Systems10.1145/3604930.3605722(1-8)Online publication date: 9-Jul-2023
https://dl.acm.org/doi/10.1145/3604930.3605722
Kühtreiber PPak VReinhardt D(2023)“A method like this would be overkill”: Developers’ Perceived Issues with Privacy-preserving Computation Methods2023 IEEE 22nd International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom)10.1109/TrustCom60117.2023.00145(1041-1048)Online publication date: 1-Nov-2023
https://doi.org/10.1109/TrustCom60117.2023.00145
Velasquez RNegri-Ribalta CNoel RPastor O(2023)Exploring Understandability in Socio-technical Models for Data Protection Analysis: Results from a Focus GroupAdvances in Conceptual Modeling10.1007/978-3-031-47112-4_25(263-273)Online publication date: 6-Nov-2023
https://dl.acm.org/doi/10.1007/978-3-031-47112-4_25
Negri-Ribalta CNoel RPastor OSalinesi C(2023)An Empirical Study on Socio-technical Modeling for Interdisciplinary Privacy RequirementsCooperative Information Systems10.1007/978-3-031-46846-9_8(137-156)Online publication date: 30-Oct-2023
https://dl.acm.org/doi/10.1007/978-3-031-46846-9_8
Chowdhury PHallett JPatnaik NTahaei MRashid A(2021)Developers Are Neither Enemies Nor Users: They Are Collaborators2021 IEEE Secure Development Conference (SecDev)10.1109/SecDev51306.2021.00023(47-55)Online publication date: Oct-2021
https://doi.org/10.1109/SecDev51306.2021.00023

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