Measuring for AI success and quality improvement

DORA's AI capabiltiies model

I’ve worked primarily in a tester and quality engineering role for a few decades now. “Metrics” have always been the magic beans of improving quality. People ask me “What metrics should we use?”, as if they will reach their quality goals by measuring the right things. They want something easy, like code coverage and bug […]