Home > Research > Publications & Outputs > On measuring affects of github issues' commenters

Research

Associated organisational unit

Links

Text available via DOI:

View graph of relations

On measuring affects of github issues' commenters

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review

Published

Standard

On measuring affects of github issues' commenters. / Destefanis, G.; Ortu, M.; Bowes, D. et al.
SEmotion '18 Proceedings of the 3rd International Workshop on Emotion Awareness in Software Engineering. New York: ACM, 2018. p. 14-19.

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review

Harvard

Destefanis, G, Ortu, M, Bowes, D, Marchesi, M & Tonelli, R 2018, On measuring affects of github issues' commenters. in SEmotion '18 Proceedings of the 3rd International Workshop on Emotion Awareness in Software Engineering. ACM, New York, pp. 14-19. https://doi.org/10.1145/3194932.3194936

APA

Destefanis, G., Ortu, M., Bowes, D., Marchesi, M., & Tonelli, R. (2018). On measuring affects of github issues' commenters. In SEmotion '18 Proceedings of the 3rd International Workshop on Emotion Awareness in Software Engineering (pp. 14-19). ACM. https://doi.org/10.1145/3194932.3194936

Vancouver

Destefanis G, Ortu M, Bowes D, Marchesi M, Tonelli R. On measuring affects of github issues' commenters. In SEmotion '18 Proceedings of the 3rd International Workshop on Emotion Awareness in Software Engineering. New York: ACM. 2018. p. 14-19 doi: 10.1145/3194932.3194936

Author

Destefanis, G. ; Ortu, M. ; Bowes, D. et al. / On measuring affects of github issues' commenters. SEmotion '18 Proceedings of the 3rd International Workshop on Emotion Awareness in Software Engineering. New York : ACM, 2018. pp. 14-19

Bibtex

@inproceedings{3e8386c7a5924d069d86fc95a138fa22,
title = "On measuring affects of github issues' commenters",
abstract = "In this study, we analyzed issues and comments on GitHub projects and built collaboration networks dividing contributors into two categories: users and commenters. We identified as commenters those users who only post comments without posting any issues nor committing changes in the source code. Since previous studies showed that there is a link between a positive environment (regarding affectiveness) and productivity, our goal was to investigate commenters' contribution to the project concerning affectiveness.We analyzed more than 370K comments from 100K issues of 25K contributors from 3 open source projects. We then calculated and compared the affectiveness of the issues' comments written by users and commenters in terms of sentiment, politeness, and emotions. We provide empirical evidence that commenters are less polite, less positive and in general they express a lower level of emotions in their comments than users. Our results also confirm that GitHub's contributors consist of different groups which behave differently, and this provides useful information for future studies in the field.",
author = "G. Destefanis and M. Ortu and D. Bowes and M. Marchesi and R. Tonelli",
year = "2018",
month = jun,
day = "2",
doi = "10.1145/3194932.3194936",
language = "English",
isbn = "9781450357517",
pages = "14--19",
booktitle = "SEmotion '18 Proceedings of the 3rd International Workshop on Emotion Awareness in Software Engineering",
publisher = "ACM",

}

RIS

TY - GEN

T1 - On measuring affects of github issues' commenters

AU - Destefanis, G.

AU - Ortu, M.

AU - Bowes, D.

AU - Marchesi, M.

AU - Tonelli, R.

PY - 2018/6/2

Y1 - 2018/6/2

N2 - In this study, we analyzed issues and comments on GitHub projects and built collaboration networks dividing contributors into two categories: users and commenters. We identified as commenters those users who only post comments without posting any issues nor committing changes in the source code. Since previous studies showed that there is a link between a positive environment (regarding affectiveness) and productivity, our goal was to investigate commenters' contribution to the project concerning affectiveness.We analyzed more than 370K comments from 100K issues of 25K contributors from 3 open source projects. We then calculated and compared the affectiveness of the issues' comments written by users and commenters in terms of sentiment, politeness, and emotions. We provide empirical evidence that commenters are less polite, less positive and in general they express a lower level of emotions in their comments than users. Our results also confirm that GitHub's contributors consist of different groups which behave differently, and this provides useful information for future studies in the field.

AB - In this study, we analyzed issues and comments on GitHub projects and built collaboration networks dividing contributors into two categories: users and commenters. We identified as commenters those users who only post comments without posting any issues nor committing changes in the source code. Since previous studies showed that there is a link between a positive environment (regarding affectiveness) and productivity, our goal was to investigate commenters' contribution to the project concerning affectiveness.We analyzed more than 370K comments from 100K issues of 25K contributors from 3 open source projects. We then calculated and compared the affectiveness of the issues' comments written by users and commenters in terms of sentiment, politeness, and emotions. We provide empirical evidence that commenters are less polite, less positive and in general they express a lower level of emotions in their comments than users. Our results also confirm that GitHub's contributors consist of different groups which behave differently, and this provides useful information for future studies in the field.

U2 - 10.1145/3194932.3194936

DO - 10.1145/3194932.3194936

M3 - Conference contribution/Paper

SN - 9781450357517

SP - 14

EP - 19

BT - SEmotion '18 Proceedings of the 3rd International Workshop on Emotion Awareness in Software Engineering

PB - ACM

CY - New York

ER -