In the current thesis, we want to look at the application of requirements prioritization automation by means of machine learning to community-driven open source software.
The following tasks are part of the thesis:
+ review the current state of the art in the classification and prediction of priorities in software engineering (not only requirements, but also related areas such as issues prioritization);
+ describe how requirements are usually prioritized on some community-driven open source software projects;
+ evaluate several techniques for the automated reasoning based on machine learning techniques;
+ propose a discussion about the results from the implemented approaches within the context of the identified projects;