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版本：v0.20

PR Cycle Time

What is this metric?​

PR Cycle Time is the sum of PR Coding Time, PR Time-to-Merge and PR Deploy Time. It is the total time from the first commit to when the PR is deployed.

The reason why we use PR Time-to-Merge rather than PR Pickup Time + PR Review Time is that a merged PR may not have any review. In this case, PR Pickup Time and PR Review Time will be NULL, while PR Time-to-Merge is not.

Why is it important?​

PR Cycle Time indicates the overall velocity of the delivery progress in terms of PR.

Which dashboard(s) does it exist in?​

How is it calculated?​

You can define deployment based on your actual practice. For a full list of deployment's definitions that DevLake support, please refer to Deployment Frequency.

Data Sources Required

This metric relies on PRs/MRs collected from GitHub, GitLab, BitBucket, Gitee or other code review tools.

Data Transformation Required

N/A

SQL Queries

The following SQL shows how to find the cycle time of a specific PR. DevLake pre-calculates the metric and stores it in table.project_pr_metrics.

SELECT
  pr_cycle_time/60 as 'PR Cycle Time(h)'
FROM
  project_pr_metrics

If you want to measure the monthly trend of PR cycle time in the screenshot below, please run the following SQL in Grafana. 

SELECT 
  DATE_ADD(date(pr.created_date), INTERVAL -DAY(date(pr.created_date))+1 DAY) as time,
  avg(ppm.pr_cycle_time)/60 as 'PR Cycle Time(h)'
FROM 
  pull_requests pr
  JOIN project_pr_metrics ppm ON pr.id = ppm.id
GROUP BY 1
ORDER BY 1

How to improve?​

  1. Divide coding tasks into workable and manageable pieces;
  2. Use DevLake's dashboards to monitor your delivery progress;
  3. Have a habit to check for hanging PRs regularly;
  4. Set up alerts for your communication tools (e.g. Slack, Lark) when new PRs are issued;
  5. Use automated tests for the initial work;
  6. Reduce PR size;
  7. Analyze the causes for long reviews.