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.
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 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.
All Issues metric in Bitbucket is the total number of open and closed issues in a repository or project. It provides a quick overview of all the issues tracked in your 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.
The Declined Pull Requests metric in Bitbucket measures the number of proposed code changes that were rejected by team members or automated checks.
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 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.