Abstract
This paper will discuss 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.
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Keywords
- Open Source
- Proprietary Software
- Open Source Project
- Global Software Development
- Open Source Software Development
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
6 References
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© 2006 International Federation for Information Processing
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Conklin, M.S. (2006). Beyond Low-Hanging Fruit: Seeking the Next Generation in FLOSS Data Mining. In: Damiani, E., Fitzgerald, B., Scacchi, W., Scotto, M., Succi, G. (eds) Open Source Systems. OSS 2006. IFIP International Federation for Information Processing, vol 203. Springer, Boston, MA . https://doi.org/10.1007/0-387-34226-5_5
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DOI: https://doi.org/10.1007/0-387-34226-5_5
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