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Helping Software Architects Familiarize with the General Data Protection Regulation

Colesky, Michael (author)
Radboud University, NLD
Demetzou, Katerina (author)
Radboud University, NLD
Fritsch, Lothar, 1970- (author)
Karlstads universitet,Institutionen för matematik och datavetenskap (from 2013)
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Herold, Sebastian (author)
Karlstads universitet,Institutionen för matematik och datavetenskap (from 2013)
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 (creator_code:org_t)
IEEE, 2019
2019
Swedish.
In: 2019 IEEE International Conference on Software Architecture Companion (ICSA-C). - : IEEE. - 9781728118772 - 9781728118765 ; , s. 226-229
  • Conference paper (peer-reviewed)
Abstract Subject headings
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  • 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.

Subject headings

NATURVETENSKAP  -- Data- och informationsvetenskap -- Datavetenskap (hsv//swe)
NATURAL SCIENCES  -- Computer and Information Sciences -- Computer Sciences (hsv//eng)

Keyword

software architecture; data privacy; decision support systems; design decisions
Computer Science
Datavetenskap

Publication and Content Type

ref (subject category)
kon (subject category)

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Kungliga biblioteket hanterar dina personuppgifter i enlighet med EU:s dataskyddsförordning (2018), GDPR. Läs mer om hur det funkar här.
Så här hanterar KB dina uppgifter vid användning av denna tjänst.

 
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