Abstract
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.
| Original language | English |
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| Title of host publication | Proceedings of the 9th International Workshop on Socio-Technical Aspects in SecuriTy (STAST) |
| Publication status | Published - 2019 |
| Externally published | Yes |