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Release Readiness Score Calculator

Work out release readiness score instantly with clear inputs, formula shown and shareable results.

About Release Readiness Score Calculator

Readiness is more than a green test suite. This score weights test results, coverage and — most heavily — how recently rollback was actually exercised, because an untested rollback path is the difference between a five-minute incident and a five-hour one. Any open blocker overrides the arithmetic entirely.

Formula

Readiness score

score = 0.4 x test pass rate + 0.25 x coverage + 0.35 x rollback confidence, minus 25 per open blocker

Worked example

With the default values below, Release Readiness Score Calculator returns Release readiness score (0-100) of 47.4. Change any input above and every figure here is recalculated in your browser.

Inputs used

Test pass rateaccepts 0–100 %
98.5 %
Open blocker defectsminimum 0
1
Test coverageaccepts 0–100 %
76 %
Days since rollback was last testedminimum 0 days
45 days

Results

Release readiness score (0-100)
47.4
Penalty from open blockers
25
Rollback confidence component
40
Recommendation
Not ready - blocker defects must be closed

Step by step

  1. 1Values used
  2. 2Readiness score
  3. 3Release readiness score (0-100)= 47.4
  4. 4Penalty from open blockers= 25
  5. 5Rollback confidence component= 40
  6. 6Recommendation= Not ready - blocker defects must be closed

Assumptions and limits

  • The result is derived only from the 4 inputs listed above. Anything not among them is not part of the calculation.
  • In particular, this calculator does not take inflation, tax, fees or charges or compounding frequency into account.
  • Figures are rounded for display to 1 decimal place, so totals built from several rounded parts can differ slightly from the unrounded arithmetic.

How these calculators are built and tested is described on the Methodology page. If a figure looks wrong, please report it.

Frequently Asked Questions

Why weight rollback testing so heavily?

Because it is the control that limits the impact of everything you failed to catch. A recently rehearsed rollback converts most release failures into brief blips.

Should the gate be automated?

The measurement should be. The decision benefits from human judgement, but the inputs should come from the pipeline rather than from a spreadsheet.

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