TY - GEN
T1 - Expressions of Sentiments during Code Reviews
T2 - 26th IEEE International Conference on Software Analysis, Evolution, and Reengineering, SANER 2019
AU - Paul, Rajshakhar
AU - Bosu, Amiangshu
AU - Sultana, Kazi Zakia
N1 - Publisher Copyright:
© 2019 IEEE.
PY - 2019/3/15
Y1 - 2019/3/15
N2 - As most of the software development organizations are male-dominated, many female developers encounter negative workplace experiences and report feeling like they 'do not belong'. Exposures to discriminatory expletives or negative critiques from their male colleagues may further exacerbate those feelings. The primary goal of this study is to identify the differences in expressions of sentiments between male and female developers during various software engineering tasks. On this goal, we mined the code review repositories of six popular open source projects. We used a semi-Automated approach leveraging the name as well as multiple social networks to identify the gender of a developer. Using SentiSE, a customized and state-of-The-Art sentiment analysis tool for the software engineering domain, we classify each communication as negative, positive, or neutral. We also compute the frequencies of sentiment words, emoticons, and expletives used by each developer.Our results suggest that the likelihood of using sentiment words, emoticons, and expletives during code reviews varies based on the gender of a developer, as females are significantly less likely to express sentiments than males. Although female developers were more neutral to their male colleagues than to another female, male developers from three out of the six projects were not only writing more frequent negative comments but also withholding positive encouragements from their female counterparts. Our results provide empirical evidence of another factor behind the negative work place experiences encountered by the female developers that may be contributing to the diminishing number of females in the SE industry.
AB - As most of the software development organizations are male-dominated, many female developers encounter negative workplace experiences and report feeling like they 'do not belong'. Exposures to discriminatory expletives or negative critiques from their male colleagues may further exacerbate those feelings. The primary goal of this study is to identify the differences in expressions of sentiments between male and female developers during various software engineering tasks. On this goal, we mined the code review repositories of six popular open source projects. We used a semi-Automated approach leveraging the name as well as multiple social networks to identify the gender of a developer. Using SentiSE, a customized and state-of-The-Art sentiment analysis tool for the software engineering domain, we classify each communication as negative, positive, or neutral. We also compute the frequencies of sentiment words, emoticons, and expletives used by each developer.Our results suggest that the likelihood of using sentiment words, emoticons, and expletives during code reviews varies based on the gender of a developer, as females are significantly less likely to express sentiments than males. Although female developers were more neutral to their male colleagues than to another female, male developers from three out of the six projects were not only writing more frequent negative comments but also withholding positive encouragements from their female counterparts. Our results provide empirical evidence of another factor behind the negative work place experiences encountered by the female developers that may be contributing to the diminishing number of females in the SE industry.
KW - code review
KW - discrimination
KW - emotion
KW - gender bias
KW - gender issues
KW - sentiment
UR - http://www.scopus.com/inward/record.url?scp=85064168086&partnerID=8YFLogxK
U2 - 10.1109/SANER.2019.8667987
DO - 10.1109/SANER.2019.8667987
M3 - Conference contribution
AN - SCOPUS:85064168086
T3 - SANER 2019 - Proceedings of the 2019 IEEE 26th International Conference on Software Analysis, Evolution, and Reengineering
SP - 26
EP - 37
BT - SANER 2019 - Proceedings of the 2019 IEEE 26th International Conference on Software Analysis, Evolution, and Reengineering
A2 - Shihab, Emad
A2 - Lo, David
A2 - Wang, Xinyu
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 24 February 2019 through 27 February 2019
ER -