Experimentation in software engineering: an introduction
Experimentation in software engineering: an introduction
The impact of culture and gender on web sites: an empirical study
ACM SIGMIS Database
Women go with the (optical) flow
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
The impact of pair programming on student performance, perception and persistence
Proceedings of the 25th International Conference on Software Engineering
How self-efficacy and gender issues affect software adoption and use
Communications of the ACM - Why CS students need math
Gender: An Important Factor in End-User Programming Environments?
VLHCC '04 Proceedings of the 2004 IEEE Symposium on Visual Languages - Human Centric Computing
Effectiveness of end-user debugging software features: are there gender issues?
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Voices of women in a software engineering course: reflections on collaboration
Journal on Educational Resources in Computing (JERIC) - Special Issue on Gender-Balancing Computing Education
Tinkering and gender in end-user programmers' debugging
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Transfer scenarios: grounding innovation with marginal practices
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Storytelling alice motivates middle school girls to learn computer programming
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
On to the Real World: Gender and Self-Efficacy in Excel
VLHCC '07 Proceedings of the IEEE Symposium on Visual Languages and Human-Centric Computing
Design Planning in End-User Web Development
VLHCC '07 Proceedings of the IEEE Symposium on Visual Languages and Human-Centric Computing
Testing vs. code inspection vs. what else?: male and female end users' debugging strategies
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
An ethnographic examination of the relationship of gender & end-user programming
An ethnographic examination of the relationship of gender & end-user programming
Some statistical analyses of CHI
CHI '09 Extended Abstracts on Human Factors in Computing Systems
Handbook of Parametric and Nonparametric Statistical Procedures
Handbook of Parametric and Nonparametric Statistical Procedures
Can feature design reduce the gender gap in end-user software development environments?
VLHCC '08 Proceedings of the 2008 IEEE Symposium on Visual Languages and Human-Centric Computing
Feminist HCI: taking stock and outlining an agenda for design
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Gender HCI: what about the software?
Proceedings of the 28th ACM International Conference on Design of Communication
The future of software engineering: enhancing human expertise in tackling software quality
Proceedings of the FSE/SDP workshop on Future of software engineering research
Gender pluralism in problem-solving software
Interacting with Computers
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Although there has been significant research into gender regarding educational and workplace practices, there has been little investigation of gender differences pertaining to problem solving with programming tools and environments. As a result, there is little evidence as to what role gender plays in programming tools---and what little evidence there is has involved mainly novice and end-user programmers in academic studies. This paper therefore investigates how widespread such phenomena are in industrial programming situations, considering three disparate programming populations involving almost 3000 people and three different programming platforms in industry. To accomplish this, we analyzed four industry "legacy" studies from a gender perspective, triangulating results against each other and against a new fifth study, also in industry. We investigated gender differences in software feature usage and in tinkering/exploring software features. Furthermore, we examined how such differences tied to confidence. Our results showed significant gender differences in all three factors---across all populations and platforms.