Skup podataka sa Zenodo · Davide Rossi
Geographic Diversity in Public Code Contributions — Replication Package
- Licenca
- CC BY 4.0dozvoljena komercijalna upotrebaTekst licence
- Licenca dozvoljava komercijalnu upotrebu. Obično treba navesti autora — tačni uslovi su u tekstu licence.
- Formati
- PY, SH, CSV, TAB, SQL, HTML
- Veličina
- 11 MB
- Ažurirano
- 31. 3. 2022.
Opis
Geographic Diversity in Public Code Contributions - Replication Package This document describes how to replicate the findings of the paper: Davide Rossi and Stefano Zacchiroli, 2022, Geographic Diversity in Public Code Contributions - An Exploratory Large-Scale Study Over 50 Years . In 19th International Conference on Mining Software Repositories (MSR ’22), May 23-24, Pittsburgh, PA, USA. ACM, New York, NY, USA, 5 pages. https://doi.org/10.1145/3524842.3528471 This document comes with the software needed to mine and analyze the data presented in the paper. Prerequisites These instructions assume the use of the bash shell, the Python programming language, the PosgreSQL DBMS (version 11 or later), the zstd compression utility and various usual nix shell utilities (cat, pv, …), all of which are available for multiple architectures and OSs. It is advisable to create a Python virtual environment and install the following PyPI packages: click==8.0.4 cycler==0.11.0 fonttools==4.31.2 kiwisolver==1.4.0 matplotlib==3.5.1 numpy==1.22.3 packaging==21.3 pandas==1.4.1 patsy==0.5.2 Pillow==9.0.1 pyparsing==3.0.7 python-dateutil==2.8.2 pytz==2022.1 scipy==1.8.0 six==1.16.0…
Opis sa Zenodo, skraćen.
Fajlovi (24)
- PYquery_to_tab.py2,6 kB
- SHcleanup.sh805 B
- CSVcctld.csv26 kB
- PYassign_world_zone.py17 kB
- PYfilter_names.py2 kB
- TABzones.acc.tab23 kB
- PYguess_country_by_email.py2,8 kB
- PYsmudge_authors.py1,5 kB
- SQLschema_indexes.sql533 B
- SHimport_data.sh669 B
- SQLimport_data.sql1,2 kB
- SQLschema.sql2,4 kB
- TABnames.tab10 MB
- HTMLREADME.html6,2 kB
- PYpgcsv2utf8.py5,3 kB
- PYplot_yearly_totals.py2,4 kB
- SQLquery_author_zones.sql1 kB
- SQLquery_commit_zones.sql776 B
- MDREADME.md5 kB
- PYtab_to_grid.py2,2 kB
- SQLextract_commits.sql381 B
- SHextract_data.sh570 B
- TABc_z.tab6,3 kB
- PYcreate_stackedbar_chart.py2,4 kB
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