The perspective of Brazilian software developers on data privacyShow others and affiliations
2023 (English)In: Journal of Systems and Software, ISSN 0164-1212, E-ISSN 1873-1228, Vol. 195, article id 111523Article in journal (Refereed) Published
Abstract [en]
Context: Maintaining the privacy of user data is a concern in software development to satisfy customer needs or to comply with privacy laws. Recent studies have shown that software development approaches still neglect non-functional requirements, including privacy. Concern about privacy may increase in the period between when a privacy law is initially announced and when it is passed into law. During this period, companies will be challenged to comply with the new law. Research has shown that many developers do not have sufficient knowledge to develop privacy-preserving software systems.
Objective: We investigate the level of knowledge and understanding that developers possess regarding privacy. We explore the personal, behavioural, and external environmental factors affecting a developer's decision-making regarding privacy requirements.
Methods: We replicated a study by means of in-depth, semi-structured interviews with thirteen practitioners at six companies. Our data analysis is based on the principles of ‘grounded theory codification’.
Results: We identified nine personal factors, five behavioural factors, and seven external environment factors that are relevant to how software developers make decisions regarding.
Conclusion: Our identification of factors that influence the development of privacy-preserving software systems can be seen as a contribution to the specification of effective methods for securing privacy. © 2022 Elsevier Inc.
Place, publisher, year, edition, pages
Elsevier, 2023. Vol. 195, article id 111523
Keywords [en]
Computer software, Customer satisfaction, Privacy-preserving techniques, Software design, Customer need, Empirical studies, Non-functional requirements, Privacy law, Privacy preserving, Privacy requirements, Software developer, Software development approach, Software-systems, User data, Decision making, Empirical study, Software development
National Category
Software Engineering
Identifiers
URN: urn:nbn:se:bth-23859DOI: 10.1016/j.jss.2022.111523ISI: 000875835500004Scopus ID: 2-s2.0-85139857676OAI: oai:DiVA.org:bth-23859DiVA, id: diva2:1709371
Part of project
SERT- Software Engineering ReThought, Knowledge Foundation
Funder
Knowledge Foundation, 201800102022-11-082022-11-082022-11-10Bibliographically approved