Relationship between Geographical Location and Evaluation of Developer Contributions in GitHub

Ayushi Rastogi; Nachiappan Nagappan; Georgios Gousios; André van der Hoek

doi:10.1145/3239235.3240504

Relationship between Geographical Location and Evaluation of Developer Contributions in GitHub

Ayushi Rastogi, Nachiappan Nagappan, Georgios Gousios, André van der Hoek

Software Engineering

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

36 Citations (Scopus)

255 Downloads (Pure)

Abstract

Background: Open source software projects show gender bias suggesting that other demographic characteristics of developers, like geographical location, can negatively influence evaluation of contributions too. Aim: This study contributes to this emerging body of knowledge in software development by presenting a quantitative analysis of the relationship between the geographical location of developers and evaluation of their contributions on GitHub. Method: We present an analysis of 70,000+ pull requests selected from 17 most actively participating countries to model the relationship between the geographical location of developers and pull request acceptance decision. Results and Conclusion: We observed structural differences in pull request acceptance rates across 17 countries. Countries with no apparent similarities such as Switzerland and Japan had one of the highest pull request acceptance rates while countries like China and Germany had one of the lowest pull request acceptance rates. Notably, higher acceptance rates were observed for all but one country when pull requests were evaluated by developers from the same country.

Original language	English
Title of host publication	ESEM ’18
Subtitle of host publication	Proceedings of the 12th ACM/IEEE International Symposium on Empirical Software Engineering and Measurement
Place of Publication	New York, NY
Publisher	ACM
Pages	1-8
Number of pages	8
ISBN (Print)	978-1-4503-5823-1
DOIs	https://doi.org/10.1145/3239235.3240504
Publication status	Published - 2018
Event	12th ACM/IEEE International Symposium on Empirical Software Engineering and Measurement: ESEM 2018 - Oulu, Finland Duration: 10 Oct 2018 → 12 Oct 2018 Conference number: 12

Conference

Conference	12th ACM/IEEE International Symposium on Empirical Software Engineering and Measurement
Country/Territory	Finland
City	Oulu
Period	10/10/18 → 12/10/18

Bibliographical note

Accepted author manuscript

Keywords

Open source
geographical location
pull requests
GitHub

Access to Document

10.1145/3239235.3240504

countryAndPRacceptanceAccepted author manuscript, 673 KB

Cite this

@inproceedings{3b3ad2bdd8654a78b5f0cdb849d2ee50,

title = "Relationship between Geographical Location and Evaluation of Developer Contributions in GitHub",

abstract = "Background: Open source software projects show gender bias suggesting that other demographic characteristics of developers, like geographical location, can negatively influence evaluation of contributions too. Aim: This study contributes to this emerging body of knowledge in software development by presenting a quantitative analysis of the relationship between the geographical location of developers and evaluation of their contributions on GitHub. Method: We present an analysis of 70,000+ pull requests selected from 17 most actively participating countries to model the relationship between the geographical location of developers and pull request acceptance decision. Results and Conclusion: We observed structural differences in pull request acceptance rates across 17 countries. Countries with no apparent similarities such as Switzerland and Japan had one of the highest pull request acceptance rates while countries like China and Germany had one of the lowest pull request acceptance rates. Notably, higher acceptance rates were observed for all but one country when pull requests were evaluated by developers from the same country. ",

keywords = "Open source, geographical location, pull requests, GitHub",

author = "Ayushi Rastogi and Nachiappan Nagappan and Georgios Gousios and {van der Hoek}, Andr{\'e}",

note = "Accepted author manuscript; 12th ACM/IEEE International Symposium on Empirical Software Engineering and Measurement : ESEM 2018 ; Conference date: 10-10-2018 Through 12-10-2018",

year = "2018",

doi = "10.1145/3239235.3240504",

language = "English",

isbn = "978-1-4503-5823-1",

pages = "1--8",

booktitle = "ESEM {\textquoteright}18",

publisher = "ACM",

address = "United States",

}

Rastogi, A, Nagappan, N, Gousios, G & van der Hoek, A 2018, Relationship between Geographical Location and Evaluation of Developer Contributions in GitHub. in ESEM ’18: Proceedings of the 12th ACM/IEEE International Symposium on Empirical Software Engineering and Measurement ., 22, ACM, New York, NY, pp. 1-8, 12th ACM/IEEE International Symposium on Empirical Software Engineering and Measurement, Oulu, Finland, 10/10/18. https://doi.org/10.1145/3239235.3240504

Relationship between Geographical Location and Evaluation of Developer Contributions in GitHub. / Rastogi, Ayushi; Nagappan, Nachiappan; Gousios, Georgios et al.
ESEM ’18: Proceedings of the 12th ACM/IEEE International Symposium on Empirical Software Engineering and Measurement . New York, NY: ACM, 2018. p. 1-8 22.

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

TY - GEN

T1 - Relationship between Geographical Location and Evaluation of Developer Contributions in GitHub

AU - Rastogi, Ayushi

AU - Nagappan, Nachiappan

AU - Gousios, Georgios

AU - van der Hoek, André

N1 - Conference code: 12

PY - 2018

Y1 - 2018

N2 - Background: Open source software projects show gender bias suggesting that other demographic characteristics of developers, like geographical location, can negatively influence evaluation of contributions too. Aim: This study contributes to this emerging body of knowledge in software development by presenting a quantitative analysis of the relationship between the geographical location of developers and evaluation of their contributions on GitHub. Method: We present an analysis of 70,000+ pull requests selected from 17 most actively participating countries to model the relationship between the geographical location of developers and pull request acceptance decision. Results and Conclusion: We observed structural differences in pull request acceptance rates across 17 countries. Countries with no apparent similarities such as Switzerland and Japan had one of the highest pull request acceptance rates while countries like China and Germany had one of the lowest pull request acceptance rates. Notably, higher acceptance rates were observed for all but one country when pull requests were evaluated by developers from the same country.

AB - Background: Open source software projects show gender bias suggesting that other demographic characteristics of developers, like geographical location, can negatively influence evaluation of contributions too. Aim: This study contributes to this emerging body of knowledge in software development by presenting a quantitative analysis of the relationship between the geographical location of developers and evaluation of their contributions on GitHub. Method: We present an analysis of 70,000+ pull requests selected from 17 most actively participating countries to model the relationship between the geographical location of developers and pull request acceptance decision. Results and Conclusion: We observed structural differences in pull request acceptance rates across 17 countries. Countries with no apparent similarities such as Switzerland and Japan had one of the highest pull request acceptance rates while countries like China and Germany had one of the lowest pull request acceptance rates. Notably, higher acceptance rates were observed for all but one country when pull requests were evaluated by developers from the same country.

KW - Open source

KW - geographical location

KW - pull requests

KW - GitHub

U2 - 10.1145/3239235.3240504

DO - 10.1145/3239235.3240504

M3 - Conference contribution

SN - 978-1-4503-5823-1

SP - 1

EP - 8

BT - ESEM ’18

PB - ACM

CY - New York, NY

T2 - 12th ACM/IEEE International Symposium on Empirical Software Engineering and Measurement

Y2 - 10 October 2018 through 12 October 2018

ER -

Relationship between Geographical Location and Evaluation of Developer Contributions in GitHub

Abstract

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Bibliographical note

Keywords

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