The New Superseded Pull Requests metric tracks the number of pull requests that have been replaced by newer ones, indicating the need for more efficient communication and decision-making processes within the development team.
With Databox you can track all your metrics from various data sources in one place.
Used to show a simple Metric or to draw attention to one key number.
Databox is a business analytics software that allows you to track and visualize your most important metrics from any data source in one centralized platform.
To track New Superseded Pull Requests using Databox, follow these steps:
The Branches metric in Bitbucket measures the number of branches that exist within a repository. It gives an idea of how teams manage their codebase and collaborate on new features or bug fixes.
The Open Issues metric in Bitbucket represents the number of unresolved problems or task items that have been reported or created in a repository's issue tracker and are waiting for resolution by the development team.
Open Pull Requests is a metric that shows the number of pull requests in a repository that have not been merged or closed yet. It gives an idea of the current workload or collaboration level in a project.
The New Open Pull Requests metric tracks the number of pull requests that have been created and are currently open for review and merging.
Superseded Pull Requests metric tracks the number of pull requests that were closed or merged due to another pull request superseding them.
The New Declined Pull Requests metric is a count of pull requests that were closed as "declined" within a given time period, indicating code that did not meet the project's standards.
The Merged Pull Requests metric measures the number of pull requests that have been successfully merged into a branch within a specific time frame, indicating the productivity and collaboration of a team.
The New Merged Pull Requests metric measures the number of new pull requests that have been successfully merged into the main codebase during a specific time period.