Final Thesis: Using Machine Learning to Classify Open Source Projects

Abstract: Classifying open source software projects in the Ohloh data manually would take a very long time. For further research on the Ohloh data, it would be helpful to have the projects classied into groups. In order to to this, data from a snapshot of the ohloh project is analyzed and then machine learning techniques are used to classify the data. The results of the classication can then be added to the Ohloh data for further research.

Keywords: Ohloh, open source software, open source projects

PDFs: Bachelor Thesis, Work Description

Reference: Leonhard Hösch. Using Machine Learning to Classify Open Source Projects. Bachelor Thesis, Friedrich-Alexander-Universität Erlangen-Nürnberg: 2014.

Leave a Reply

This site uses Akismet to reduce spam. Learn how your comment data is processed.