Megan Conklin, assistant professor in the department of Computing Sciences, has published “Beyond Low-Hanging Fruit: the Next Generation in FLOSS Data Mining” in the Springer computer science series for IFIP, the International Federation for Information Processing (Volume 203/2006, pages 47-56).
The book chapter discusses the motivations and methods for collecting quantitative data about free, libre and open source (FLOSS) software projects. The paper also describes the current state of the art in collecting this data, and some of the problems with this process. Finally, the paper outlines the challenges data miners should look forward to when trying to improve the usefulness of their quantitative data streams.