Data privacy has become one of the hot topics in society, but also in reseach. In the light of data available to the public or to researchers, data privacy should ensure that individuals cannot be identified.
The state-of-the art software tools for data anonymization of complex and big data are open-source: the R package sdcMicro for data anonymization, and the R package simPop for simulating synthetic confidential data.
These software tools are used by various national and international institutions. The aim of this project is to raise the code quality of these anonymization software products. To do so, integrated test should be implemented also to ensure to avoid bugs when changing parts of a code. The integrated test battery should automatically test every
modular part of the code. The code itself should possible be further split into smaller modular parts for better testing and to increase the code quality.