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By the success of the company. Buy-in for QA will need to come from the top rather then the justification being looked for in data. You will, over time, be able to point to things like some major bugs prevented from reaching customers performance issues anticipated and planned for unusual bugs discovered for certain conditions more new customers more ...


1

I've never used metrics in this way, however, you can build a case with some care and a lot of data mining. First find out the average time cost per bug found by customers. You're going to need to find out how much time is spent in diagnosis, fixing, devising workarounds, and pushing patches, and average over the total number of bugs (this will never be ...


1

Metrics are misleading. You can catch 10 000 useless bugs, but if the one that kills a few patients in the hospital is not caught, you're dead. Well, dead in terms of career, not as much as the hospital's patients. But metrics can be useful to convince people who believe only in them, unfortunately. If, and only if, the rationale behind the metrics is to ...



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