Msc Kevin Schmidt

MSc defense Kevin Schmidt


  • Date: 13 June 2016 (Monday)
  • Time: 18.15
  • Room: B 233
  • Presenter: Kevin Schmidt
  • Supervisor: Ralf Lämmel
  • 2nd reviewer: Hakan Aksu


License Usage Analysis and License Recommendation in Open Source Software Development


The publication of open source software aims to support the reuse, the distribution and the general utilization of software. This can only be enabled by the correct usage of open source software licenses. Therefore associations provide a multitude of open source soft- ware licenses with different features, of which a developer can choose, to regulate the interaction with his software. Those licenses are the core theme of this thesis.

After an extensive literature research, two general research questions are elaborated in detail. First, a license usage analysis of licenses in the open source sector is applied, to identify current trends and statistics. This includes questions concerning the distribution of licenses, the consistency in their usage, their association over a period of time and their publication. Afterwards the recommendation of licenses for specific projects is investigated. Therefore, a recommendation logic is presented, which includes several influences on a suitable license choice, to generate an at most applicable recommendation. Besides the exact features of a license of which a user can choose, different methods of ranking the recommendation results are proposed. This is based on the examination of the current situation of open source licensing and license suggestion. Finally, the logic is evaluated on the exemplary use-case of the 101companies project.