Smoke and Sanity Testing Guide
The complete guide to smoke vs sanity vs regression testing, when to use each, sample checklists and common mistakes — with worked examples.
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Read More →Download the smoke and sanity testing PDF from Uncodemy: differences from regression testing, when to use each and sample checklists.
This page offers Uncodemy's smoke and sanity testing guide as a PDF download. Smoke testing is a quick check that a new build is stable enough to test further. Sanity testing is a narrow check that a specific change or fix works. The guide explains both, compares them with regression testing and provides sample checklists.
Each download below is its own file. Pick what you need — a guide, sample checklists, or an interview-ready pack. All PDFs on this page are free to download. No form is required.
The complete guide to smoke vs sanity vs regression testing, when to use each, sample checklists and common mistakes — with worked examples.
Sample smoke checklist for a web application and sample sanity checks after a discount-code fix — ready to adapt for your own project.
Interview-style questions with short answers, good-practice pointers and the four common mistakes that trip up testers — plus a rule of thumb for deciding which check to run.
Each download is a separate file. By downloading, you agree to our Privacy Policy. These PDFs are study material only — not a certificate or job guarantee.
Every time a new build arrives, testers face a decision: is this build worth the effort of detailed testing? If the application does not even start, or the login is broken, spending a day running test cases is wasteful. Smoke and sanity testing are the quick checks that answer that question. They take minutes rather than hours and act as a gate: if they fail, the build goes back to the developers; if they pass, deeper testing proceeds. Understanding the difference between them, and between them and regression testing, is a standard interview topic and a practical skill.
Smoke testing, sometimes called build verification testing, is a shallow, wide check of the most important functions of a new build. The name comes from hardware testing, where engineers powered on a device and watched for smoke. In software, the tester checks that the application launches, the main pages load, users can log in and the core flows start to work, without exploring details. It is usually scripted, often automated and run on every build. A failed smoke test means the build is rejected as unstable.
Sanity testing is a narrow and deep check of a specific area after a small change, such as a bug fix or a minor enhancement, to confirm that the change works and has not obviously broken the related behaviour. It is often unscripted and done by a tester who knows the area. For instance, after a fix to the discount code calculation, a sanity test would try a few discount scenarios and the surrounding cart totals, and not the whole site. If it passes, fuller regression testing can follow.
| Aspect | Smoke testing | Sanity testing | Regression testing |
|---|---|---|---|
| Purpose | Is the build stable enough to test? | Does this specific change work? | Did the change break anything else? |
| Scope | Broad and shallow | Narrow and deep | Broad and deep |
| Performed on | Every new build | A build with a small change | After changes, before release |
| Scripted | Usually, often automated | Often ad hoc | Usually scripted and automated |
| Time taken | Minutes | Minutes to an hour | Hours or more |
| Typical outcome | Accept or reject the build | Proceed to regression or return the fix | Release confidence |
| Check | Expected |
|---|---|
| Application URL opens | Home page loads without server errors |
| Login with a valid test user | User reaches the dashboard |
| Main navigation links | Key pages open |
| Search for a known item | Results appear |
| Add an item to the cart | Cart updates |
| Start checkout | Checkout page opens |
| Logout | Session ends and the login page returns |
| Critical API health or status page | Services report healthy |
| Check | Expected |
|---|---|
| Apply a valid percentage code | Total reduces by the right percentage |
| Apply an invalid code | Clear error message, total unchanged |
| Apply a code, then change quantity | Discount recalculates correctly |
| Remove the code | Total returns to the full price |
| Proceed to checkout with a code | Discount appears on the order summary |
| Question | Short answer |
|---|---|
| Which comes first, smoke or sanity? | Smoke testing comes first on a new build; sanity testing follows after specific fixes. |
| Is sanity testing a subset of regression testing? | It is often described as a narrow subset focused on a change, though definitions vary between organisations. |
| Who performs smoke tests? | Developers or testers, often automatically in the pipeline. |
| Can smoke testing be skipped? | Skipping it risks wasting hours on a broken build. |
Ready to build smoke and sanity suites that actually catch problems? Explore Uncodemy's Software Testing course or book a free demo and learn from industry trainers.