The Issues by Kind metric in Bitbucket categorizes and displays the number of issues based on their type (e.g. bug, enhancement, task) to help teams prioritize and manage their work effectively.
With Databox you can track all your metrics from various data sources in one place.
Used to show comparisons between values.
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 Issues by Kind using Databox, follow these steps:
Bitbucket dashboard template provides you with the latest release stats like commits, repository status, top contributors for any Bitbucket project.
Watchers is the number of users who have chosen to receive notifications of changes to a repository. They can watch any public repository hosted on Bitbucket.
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 Tags metric tracks the number of tags that are associated with a repository in Bitbucket, which can be used to organize and label specific versions of code.
The New Issues by Kind metric shows the number and types of new issues created in a given period of time.
The Time Since Last Commit metric indicates the duration since the latest update to a repository in Bitbucket, providing insight into the project's activity and potential issues like stalled development or infrequent contributions.
The New Superseded Pull Requests metric tracks the number of pull requests that have been replaced by newer ones, indicating the need for more efficient communication and decision-making processes within the development team.
The Declined Pull Requests metric in Bitbucket measures the number of proposed code changes that were rejected by team members or automated checks.
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.