this post was submitted on 14 Aug 2023
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If you can measure regressions in some way it would help to quantify the scale of the problem and also give the team something to visibly work towards.
For example: number of automated error reports (tracking like Sentry), number of issues/bug tickets created manually or number of PRs that are associated with fixing regressions (tagged after the fact).
Watching these numbers go down is satisfying.
The other thing I’d do is try to improve the tooling around testing to reduce friction when writing tests.
Are there no consequences for shipping buggy things though? No grumpy customers or internal users? I take pride in stuff that works well first time.
This is a great suggestion because it focuses directly on tracking the outcome (did the software work?) and it gives a fair chance to the folks who don’t want to test - maybe their code really is perfect!
Another similar metric I would add is the number of rollbacks of newly released code, if the CD system supports it using a method like canary or blue-green rollouts.