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QA Fundamentals · Cornerstone Guide 06

Smoke vs Sanity vs Regression Testing

A practical comparison of smoke, sanity, and regression testing: purpose, timing, scope, and examples.

7 min readFor QA analysts, developers, product teams, business analysts, and delivery leaders.

Quick comparison

TypeMain questionTypical scope
SmokeIs the build stable enough for deeper testing?Broad and shallow
SanityDoes this specific change appear to work well enough to continue?Narrow and focused
RegressionDid the change break previously working behaviour?Risk-based, often broad

Smoke testing

A smoke suite checks essential functions after a build, deployment, or environment change. It should fail quickly if the product is not testable.

Examples: application starts, login works, critical APIs respond, database connections succeed, and a core transaction completes.

Sanity testing

Sanity testing is focused confirmation around a particular change or fix, usually before spending time on broader regression.

Example
A tax calculation defect is fixed. Sanity validates the corrected calculation, several related scenarios, and immediate integration points before the full regression suite runs.

Regression testing

Regression testing protects existing behaviour from unintended impact caused by code, configuration, infrastructure, data, dependency, or environment changes.

Regression should be risk-based rather than a blind rerun of every historical case.

How to choose regression scope

  • Changed component
  • Dependent services
  • Critical business paths
  • Historically fragile areas
  • Shared libraries
  • Data transformations
  • Security/permission impacts
  • High-value automated tests
Recommended convention: Smoke = build confidence. Sanity = focused change confidence. Regression = protection against unintended impact.

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