Please use this identifier to cite or link to this item: http://hdl.handle.net/2381/39476
Title: Privacy Requirements: Past & Future
Authors: Anthonysamy, Pauline
Rashid, Awais
Chitchyan, Ruzanna
First Published: 2017
Presented at: International Conference on Software Engineering: Software Engineering for Society
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Citation: ICSE-SEIS '17 Proceedings of the 39th International Conference on Software Engineering: Software Engineering in Society Track, 2017, pp. 13-22
Abstract: Software systems are increasingly more and more open, handle large amounts of personal or other sensitive data and are intricately linked with the daily lives of individuals and communities. This poses a range of privacy requirements. Such privacy requirements are typically treated as instances of requirements pertaining to compliance, traceability, access control, verification or usability. Though important, such approaches assume that the scope for the privacy requirements can be established a-priori and that such scope does not vary drastically once the system is deployed. User data and information, however, exists in an open, hyper-connected and potentially “unbounded” environment. Furthermore, “privacy requirements - present” and “privacy requirements - future” may differ significantly as the privacy implications are often emergent a-posteriori. Effective treatment of privacy requirements, therefore, requires techniques and approaches that fit with the inherent openness and fluidity of the environment through which user data and information flows are shared. This paper surveys state of the art and present some potential directions in the way privacy requirements should be treated. We reflect on the limitations of existing approaches with regards to unbounded privacy requirements and highlight a set of key challenges for requirements engineering research with regards to managing privacy in such unbounded settings.
DOI Link: 10.1109/ICSE-SEIS.2017.3
ISSN: 0270-5257
Links: http://dl.acm.org/citation.cfm?id=3103221
http://hdl.handle.net/2381/39476
Version: Post-print
Status: Peer-reviewed
Type: Conference Paper
Rights: Copyright © 2017, Institute of Electrical and Electronics Engineers (IEEE). Deposited with reference to the publisher’s open access archiving policy.
Appears in Collections:Conference Papers & Presentations, Dept. of Computer Science

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