Hi Guilherme, I am curious about the significance of such a truck factor analysis for open source projects. Can you tell us a little bit more how this data is/could be useful. I understand that it is part of an descriptive or exploratory analysis in your thesis, but I mean in general.
Also, this index is purely based on the lines of code? Best, Sebastian > On Aug 12, 2015, at 8:57 AM, Guilherme Avelino <gavel...@gmail.com> wrote: > > As part of my PhD research on code authorship, we calculated the Truck Factor > (TF) of some popular GitHub repositories. > > As you probably know, the Truck (or Bus) Factor designates the minimal number > of developers that have to be hit by a truck (or quit) before a project is > incapacitated. In our work, we consider that a system is in trouble if more > than 50% of its files become orphan (i.e., without a main author). > > More details on our work in this preprint: https://peerj.com/preprints/1233 > > We calculated the TF for scikit-learn and obtained a value of 7. > > The developers responsible for this TF are: > > Fabian Pedregosa - author of 22% of the files > Gael varoquaux - author of 13% of the files > Andreas Mueller - author of 12% of the files > Olivier Grisel - author of 10% of the files > Lars Buitinck - author of 10% of the files > Jake Vanderplas - author of 6% of the files > Vlad Niculae - author of 5% of the files > > To validate our results, we would like to ask scikit-learn developers the > following three brief questions: > > (a) Do you agree that the listed developers are the main developers of > scikit-learn? > > (b) Do you agree that scikit-learn will be in trouble if the listed > developers leave the project (e.g., if they win in the lottery, to be less > morbid)? > > (c) Does scikit-learn have some characteristics that would attenuate the loss > of the listed developers (e.g., detailed documentation)? > > Thanks in advance for your collaboration, > > Guilherme Avelino > PhD Student > Applied Software Engineering Group (ASERG) > UFMG, Brazil > http://aserg.labsoft.dcc.ufmg.br/ > > -- > Prof. Guilherme Amaral Avelino > Universidade Federal do Piauí > Departamento de Computação > ------------------------------------------------------------------------------ > _______________________________________________ > Scikit-learn-general mailing list > Scikit-learn-general@lists.sourceforge.net > https://lists.sourceforge.net/lists/listinfo/scikit-learn-general
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