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Data, data, everywhere: quantifying software developers' privacy attitudes

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Original languageEnglish
Title of host publicationProceedings of the 9th International Workshop on Socio-Technical Aspects in SecuriTy (STAST)
Publisher or commissioning bodySpringer
DateAccepted/In press - 10 Aug 2019


Understanding developers' attitudes towards handling personal data is vital in order to understand whether the software they create handles their users' privacy fairly.

We present the results of a study adapting an existing user-focused privacy concern scale to a software development context and running it with a sample of 123 software developers, in order to validate it and develop a model for measuring the extent to which a software developer is (dis)favorable to ensuring their users' privacy. The developed scale exceeds thresholds for internal reliability (α>.8), composite reliability (CR>.8), and convergent validity (AVE>.6).

Our findings identified a model consisting of three factors that allows for understanding of developers' attitudes, including: (1) informed consent, (2) data minimization, and (3) data monetization.

Through analysis of results from the scale's deployment, we further discuss mismatches between developers' attitude and their self-perceived extent of properly handling their users' privacy, and the importance of understanding developers' attitude towards data monetization.

    Structured keywords

  • Cyber Security


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