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\section{Introduction} |
\label{sec:intro} |
\emph{Gender diversity}, or more often its lack thereof, among participants to |
software development activities has been thoroughly studied in recent years. In |
particular, the presence of, effects of, and countermeasures for \emph{gender |
bias} in Free/Open Source Software (FOSS) have received a lot of attention |
over the past decade~\cite{david2008fossdevs, qiu2010kdewomen, |
nafus2012patches, kuechler2012genderfoss, vasilescu2014gender, |
oneil2016debiansurvey, robles2016womeninfoss, terrell2017gender, |
zacchiroli2021gender}. \emph{Geographic diversity} is on the other hand the |
kind of diversity that stems from participants in some global activity coming |
from different world regions and cultures. |
Geographic diversity in FOSS has received relatively little attention in scholarly |
works. In particular, while seminal survey-based and |
point-in-time medium-scale studies of the geographic origins of FOSS |
contributors exist~\cite{ghosh2005understanding, david2008fossdevs, |
barahona2008geodiversity, takhteyev2010ossgeography, robles2014surveydataset, |
wachs2021ossgeography}, large-scale longitudinal studies of the geographic |
origin of FOSS contributors are still lacking. Such a quantitative |
characterization would be useful to inform decisions related to global |
development teams~\cite{herbsleb2007globalsweng} and hiring strategies in the |
information technology (IT) market, as well as contribute factual information |
to the debates on the economic impact and sociology of FOSS around the world. |
\paragraph{Contributions} |
With this work we contribute to close this gap by conducting \textbf{the first |
longitudinal study of the geographic origin of contributors to public code |
over 50 years.} Specifically, we provide a preliminary answer to the |
following research question: |
\begin{researchquestion} |
From which world regions do authors of publicly available commits come from |
and how has it changed over the past 50 years? |
\label{rq:geodiversity} |
\end{researchquestion} |
We use as dataset the \SWH/ archive~\cite{swhipres2017} and analyze from it |
2.2 billion\xspace commits archived from 160 million\xspace projects and authored by |
43 million\xspace authors during the 1971--2021 time period. |
We geolocate developers to |
\DATAWorldRegions/ world regions, using as signals email country code top-level domains (ccTLDs) and |
author (first/last) names compared with name distributions around the world, and UTC offsets |
mined from commit metadata. |
We find evidence of the early dominance of North America in open source |
software, later joined by Europe. After that period, the geographic diversity |
in public code has been constantly increasing. |
We also identify relevant historical shifts |
related to the end of the UNIX wars and the increase of coding literacy in |
Central and South Asia, as well as of broader phenomena like colonialism and |
people movement across countries (immigration/emigration). |
\paragraph{Data availability.} |
A replication package for this paper is available from Zenodo at |
\url{https://doi.org/10.5281/zenodo.6390355}~\cite{replication-package}. |
\section{Related Work} |
\label{sec:related} |
Both early and recent works~\cite{ghosh2005understanding, david2008fossdevs, |
robles2014surveydataset, oneil2016debiansurvey} have characterized the |
geography of Free/Open Source Software (FOSS) using \emph{developer surveys}, |
which provide high-quality answers but are limited in size (2-5\,K developers) |
and can be biased by participant sampling. |
In 2008 Barahona et al.~\cite{barahona2008geodiversity} conducted a seminal |
large-scale (for the time) study on FOSS \emph{geography using mining software |
repositories (MSR) techniques}. They analyzed the origin of 1\,M contributors |
using the SourceForge user database and mailing list archives over the |
1999--2005 period, using as signals information similar to ours: email domains |
and UTC offsets. |
The studied period (7 years) in~\cite{barahona2008geodiversity} is shorter than |
what is studied in the present paper (50 years) and the data sources are |
largely different; with that in mind, our results show a slightly larger quote of |
European v.~North American contributions. |
Another empirical work from 2010 by Takhteyev and |
Hilts~\cite{takhteyev2010ossgeography} harvested self-declared geographic |
locations of GitHub accounts recursively following their connections, |
collecting information for $\approx$\,70\,K GitHub users. A very recent |
work~\cite{wachs2021ossgeography} by Wachs et al.~has geolocated half a million |
GitHub users, having contributed at least 100 commits each, and who |
self-declare locations on their GitHub profiles. While the study is |
point-in-time as of 2021, the authors compare their findings |
against~\cite{barahona2008geodiversity, takhteyev2010ossgeography} to |
characterize the evolution of FOSS geography over the time snapshots taken by |
the three studies. |
Compared with previous empirical works, our study is much larger scale---having |
analyzed 43 million\xspace authors of 2.2 billion\xspace commits from 160 million\xspace |
projects---longitudinal over 50 years of public code contributions rather than |
point in time, and also more fine-grained (with year-by-year granularity over |
the observed period). Methodologically, our study relies on Version Control |