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Helping Software Architects Familiarize with the General Data Protection Regulation
Nijmegen, The Netherlands.
Nijmegen, The Netherlands.
Karlstad University, Faculty of Health, Science and Technology (starting 2013), Department of Mathematics and Computer Science (from 2013).ORCID iD: 0000-0002-0418-4121
Karlstad University, Faculty of Health, Science and Technology (starting 2013), Department of Mathematics and Computer Science (from 2013).ORCID iD: 0000-0002-3180-9182
2019 (Swedish)In: 2019 IEEE International Conference on Software Architecture Companion (ICSA-C), IEEE , 2019, p. 226-229Conference paper, Published paper (Refereed)
Abstract [en]

Abstract—The General Data Protection Regulation (GDPR)impacts any information systems that process personal datain or from the European Union. Yet its enforcement is stillrecent. Organizations under its effect are slow to adopt itsprinciples. One particular difficulty is the low familiarity withthe regulation among software architects and designers. Thedifficulty to interpret the content of the legal regulation ata technical level adds to that. This results in problems inunderstanding the impact and consequences that the regulationmay have in detail for a particular system or project context.In this paper we present some early work and emergingresults related to supporting software architects in this situation.Specifically, we target those who need to understand how theGDPR might impact their design decisions. In the spirit ofarchitectural tactics and patterns, we systematically identifiedand categorized 155 forces in the regulation. These results formthe conceptual base for a first prototypical tool. It enablessoftware architects to identify the relevant forces by guidingthem through an online questionnaire. This leads them to relevantfragments of the GDPR and potentially relevant privacy patterns.We argue that this approach may help software professionals,in particular architects, familiarize with the GDPR and outlinepotential paths for evaluation.

Place, publisher, year, edition, pages
IEEE , 2019. p. 226-229
Keywords [en]
software architecture; data privacy; decision support systems; design decisions
National Category
Computer Sciences
Research subject
Computer Science
Identifiers
URN: urn:nbn:se:kau:diva-71838DOI: 10.1109/ICSA-C.2019.00046ISBN: 978-1-7281-1877-2 (print)ISBN: 978-1-7281-1876-5 (electronic)OAI: oai:DiVA.org:kau-71838DiVA, id: diva2:1304956
Conference
IEEE International Conference on Software Architecture, ICSA 2019, Hamburg, Germany
Available from: 2019-04-15 Created: 2019-04-15 Last updated: 2019-12-11Bibliographically approved

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fulltext(262 kB)78 downloads
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Fritsch, LotharHerold, Sebastian

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CiteExportLink to record
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