  Data Minimization (DM) is a privacy practice that requires minimizing the use
of user data in software systems. However, continuous privacy incidents that
compromise user data suggest that the requirements of DM are not adequately
implemented in software systems. Therefore, it is important that we understand
the problems faced by software developers when they attempt to implement DM in
software systems. In this study, we investigate how 24 software developers
implement DM in a software system design when they are asked to. Our findings
revealed that developers find it difficult to implement DM when they are not
aware of the potential of data they could collect at the design phase of
systems. Furthermore, developers were inconsistent in how they implemented DM
in their software designs.
