Work out release cadence plan instantly with clear inputs, formula shown and shareable results.
Batch size is changes divided by releases, and the probability that a release contains at least one failure is 1 - (1 - failure rate)^batch size. With a 10 percent per-change failure rate, a 45-change release fails with 99 percent probability. Releasing more often keeps that probability manageable and makes attribution trivial, at the cost of more verification cycles unless verification is automated.
Release risk
batch size = changes per week / releases per week; P(release fails) = 1 - (1 - change failure rate)^batch size
No. The same changes carry the same risk. Frequent releases spread that risk into smaller, individually diagnosable events instead of one large one.
Automated verification. If each release costs six hours of manual regression testing, cadence is capped by people rather than by risk.