XLL - Code - Publications - Data Mining - Survey
Language Mining on GitHub for Co-Occurring Languages
This page contains the supplementary data (with the R script) as well as the Java code for our EASE 2015 paper.
You can find a README in each of the ZIPs which explain the contents.
A copy of the 1150 projects used can be found here (24GB).
We are situated at LMU
University in Munich, Germany. Please contact Dr. Philip Mayer
for more information.