BALTES.DEV

I consider myself a methods pluralist. To complement qualitative results derived from interviews, observational studies, or open-ended survey questions, I apply data-mining techniques to open source software projects or other data sets, including data shared by companies under non-disclosure agreements. From 2018 until 2021, I further maintain the open dataset SOTorrent that other researchers utilized to study the origin, evolution, and usage of Stack Overflow content ( project). This dataset was selected as the official mining challenge of MSR 2019. I am also interested in information visualization and visual analytics, exploring how interactive visualizations can support humans in analyzing data. I regularly develop custom visualization that we have been using in different research projects-also within SAP-to explore data or to derive patterns. I follow open science and open data practices by publishing data, software, analysis scripts, and paper preprints whenever possible.

Primary location: Eschborn Germany