Main Metrics

The top-level metrics in your Metrics view

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7 articles by 2 authors

Code Change Rate

Code Change Rate. What is this metric? This metric measures the rate of code changes the team produces throughout the iteration. Notice that this metric takes into account any type of code change: ne…

Cycle Time

Cycle time is one of the most interesting engineering execution metrics. It will show the average time it takes for a single engineering task (usually mapped to a branch) to go through the different phases of the delivery process from 'code' to 'production'.

Deployment Frequency

Deployment Frequency. What is this metric? This metric counts the number of deployments per day/week/month. Each service deployment is counted separately. Why is it important? A high number of deploy…

PR Open Rate

PR Open Rate. What is this metric? . A new pull request indicates that a branch is ready for review. This metric tells you what is the daily pace of pull request creation. A good cadence of pull requ…

Pull Request Size

Pull Request Size. Pull request size is a metric calculating the average code changes (in lines of code) of a pull request. Why is it important. Small and digestible pull requests help developers red…

Review Depth

Review Depth. What is this metric? . Review depth measures the average number of comments per pull request review. This metric is an indication regarding the quality of the review and how thorough re…

What is Work Breakdown?

Work types. LinearB divides work (code changes) into 3 categories: New work - New work is brand new code that has been added to the code base. Refactor - Refactored work represents changes to legacy…

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