Gender-Diversity at a Large Scale Software Development Company

Citation Author(s):
Submitted by:
Zulal Akarsu
Last updated:
Wed, 08/19/2020 - 09:11
Data Format:
1 rating - Please login to submit your rating.



According to the latest studies, the ICT industry lacks gender equality and is hostile towards women. With an aim to delve into how the working atmosphere is affected by gender diversity in software development teams, a questionnaire study was conducted with 78 participants consist of 21 women and 57 men at a large scale software development company in Turkey. The findings of this investigation complement those of earlier studies which suggest that the gender-differentiated teams have a more cheerful work atmosphere compared to purely male ones. This study strengthens the idea that gender diversity has an impact on team productivity. Ultimately, the results also highlight the existence of gender discrimination and conscious bias in software organizations.


This dataset includes the results of a survey study that is conducted at a large scale software development company. The survey was conducted with 78 software practitioners at the organization and 73% of the respondents were male. The average age was 27.8 years. The average experience was approximately 4 years. 58% of the respondents worked as programmers in their latest projects, followed by 12% who worked as testers. The questions consisted of 12 gender roles statements which were rated according to a 5-point gender scale (i.e. 1- mostly female, 2- slightly female, 3- both, 4- slightly male, and 5- mostly male). In addition, the survey included 10 statements about gender diversity and interactions, which were scored by participants on a 5-point scale ranging from 1 (Strongly disagree) through 2 (Disagree), 3 (Neutral), 4 (Agree) to 5 (Strongly agree). The last section of the survey was divided into two parts (i.e. for women and for men) which were answered by participants according to their gender identification. Lastly, participants were asked to give a range of values of the percentage of women in an ideal IT team.