Software engineering research shows that developer behavior is a leading indicator for software success. Many of the issues that challenge software teams are visible in the team’s behavior before they surface elsewhere.
DevMetrics combines information from your Git-based repositories with algorithms and machine learning to generate actionable insights into developer behavior and activity.
Traditional metrics can be easily skewed. DevMetrics are based on the objective information generated by the team’s activity. This information can then be used to help your team to make better decisions.