Gerrit Efficiency

This panel offers a view of efficiency closing changesets based on two metrics:

  • REI: Review Efficiency Index, defined as the number of closed changesets divided by the number of open ones in a given period of time. Measures efficiency closing changesets.
  • Lead Time: the time expressed in days between the initiation and completion of a production process, in this case, a changesets. Shown in average in this panel.
  • Time to Merge: time from changeset creation to the moment in which it’s merged or abandoned.

Filtering by Organization and Project is allowed by using the top left corner widget.

REI is shown next to filtering widget. Moving average is set to 8 weeks to identify changes in trends. Average is also shown as reference. REI values greater than 1 means the community is closing more changesets than those they are opening. Values smaller than 1 means the opposite, i.e., more changesets open than those closed during a given time frame.

Median Time to Merge gauge is set to show green color for less than 7 days, yellow for values from 7 to 30 days and red from 30 to 90 days. This means we are considering a week as a good time to merge. This is just a visual reference and you can always rely on the number, ignoring this color scheme.

Next to this gauge, Lead Time shows the average Time to Merge expressed in days together to its trend. This helps to identify peaks and visualize the global evolution of time spent in closing changesets.

Finally, a table on the right splits Median Time to Merge by repository, giving an insight on the differences among them.

Files

To use this dashboard with your own GrimoireLab deployment you need to:

Index Pattern   Dashboard
Index Pattern —– Dashboard


Command line instructions

Once you have the data in place, if you need to manually upload the dashboard execute the following commands:

kidash -e https://user:pass@localhost:443/data --import gerrit-index-pattern.json
kidash -e https://user:pass@localhost:443/data --import gerrit_efficiency.json

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