Explore the variables considered in the twincode study, including both current and potential future metrics.

This study explores six research questions focusing on the impact of gender bias on perceived productivity.

This paper reviews empirical research on the impact of gender and other factors on pair programming outcomes.

Twincode is a remote pair programming platform designed to analyze gender bias by collecting interaction metrics and dialog messages from gender-balanced teams.

This study explores the impact of perceived gender bias in remote pair programming

Learn about the confounding variables controlled in the pair programming gender bias study.

Explore the key variables used to measure gender bias in remote pair programming.

The execution plan for the twincode study involves training sessions, random group allocations, collaborative and individual programming tasks, and more.

Explore the execution plan for the Twincode study, including recruitment strategies and localization of experimental material.

Explore requirements for participant recruitment for the remote pair programming study, software engineering and computer science students from 2 universities.

Explore the dependent variables used in the study of gender bias in remote pair programming.

This section outlines the variables considered in the twincode study, including both current and potential future metrics.

Explore the Twincode study's detailed execution plan, data analysis methodology, and acknowledgments.