Xin Tan, Minghui Zhou, and Brian Fitzgerald. 2020. Scaling Open Source Communities: An Empirical Study of the Linux Kernel. In 42nd International Conference on Software Engineering (ICSE ’20), May 23–29, 2020, Seoul, Republic of Korea. ACM, New York, NY, USA, 13 pages. https://doi.org/10.1145/3377811.3380920
These files were used to calculate the model effect and select candidate comitters for the paper.
The folder calculate-model-effect contains the MySQL database and the Python script for each metric.
In the MySQL database, there are the following tables:
scmlog (the basic information of the commits)
files
hash_file (the hash of commits and their modified files)
sign (signed-off-by of commits)
review (reviewed-by of commits)
test (tested-by of commits)
ack (acked-by of commits)
maintainers (created using the file MAINTAINERS in the Linux kernel repository)
signer_maintainer
i915-committer-no-maintainer
The folder select-candidate-committers contains the data and the C++ script for selecting candidate committers for the subsystems.
First, run gen.cpp to build the collaboration network of the contributors for each potential subsystem.
Then, run main.cpp to get the list of the candidate committers.
In addition, the folder documents contains the online documents we analyzed.
The file thematic-analysis-results.pdf contains the results of the thematic analysis.
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This project was used to calculate the model effect and select candidate comitters for the paper. The folder calculate-model-effect contains the MySQL database and the Python script for each metric. I
multiple-committer-model
Xin Tan, Minghui Zhou, and Brian Fitzgerald. 2020. Scaling Open Source Communities: An Empirical Study of the Linux Kernel. In 42nd International Conference on Software Engineering (ICSE ’20), May 23–29, 2020, Seoul, Republic of Korea. ACM, New York, NY, USA, 13 pages. https://doi.org/10.1145/3377811.3380920
These files were used to calculate the model effect and select candidate comitters for the paper. The folder
calculate-model-effectcontains the MySQL database and the Python script for each metric. In the MySQL database, there are the following tables:The folder
select-candidate-committerscontains the data and the C++ script for selecting candidate committers for the subsystems. First, rungen.cppto build the collaboration network of the contributors for each potential subsystem. Then, runmain.cppto get the list of the candidate committers.In addition, the folder
documentscontains the online documents we analyzed. The filethematic-analysis-results.pdfcontains the results of the thematic analysis.