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Before we start sanity vs. smoke testing, we should know what is smoke testing and what is sanity testing.

What is Smoke Testing?

Smoke Testing is a software testing process that decides whether the deployed software build is stable or not. Smoke testing is a confirmation for the QA team that the software is ready for further testing. Smoke testing is also known as “Confidence Testing” or “Build Verification Testing”.

In simple words, we are testing whether the important features are working or not and there are no showstoppers in the build that is under testing.

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In Smoke Testing, the test cases chose to cover the most important functionality of the application. The purpose is not to perform exhaustive testing, but to verify that the most critical functionalities of the application are working fine or not.

What is Sanity Testing?

Sanity testing is a type of Software Testing performed after receiving a software build with minor changes in code or functionality, to find that the bugs have been fixed and no further issues have come due to these changes. The goal is to decide that the functionality works roughly as expected. If the sanity test fails then the build is rejected so it saves time and costs involved in more rigid testing.

The aim of the team during the sanity testing process is to validate the functionality of the application and not detailed testing. Sanity testing helps quickly identify bugs in the core functionality.

Sanity Vs Smoke Testing

Find the Difference below: Sanity Vs Smoke Testing

Sanity TestingSmoke Testing
Sanity testing is used to verify the newly added functionalities/ bugs etc. are working fine.Smoke Testing is used to ensure that the critical functionalities of the application are working fine.
This testing is done when the build is relatively stable.This testing is done at the initial level.
Sanity testing is usually performed by testers. Smoke testing is performed by the developers or testers.
Sanity testing is called a subset of regression testing. Smoke testing is called a subset of acceptance testing.
Sanity testing is done after the completion of regression testing.Smoke testing is done on every build.
Sanity testing is used in the case of only updated or detected functions of the application.Smoke testing is used to test all over the functionality of the application.
Sanity testing is always stable.Smoke testing may be stable/unstable.
Sanity testing is mostly executed manually, not by using any automation tools.Smoke testing can be performed either manually/ by using automation tools.
Sanity testing verifies only the particular component of the entire system.Smoke testing verifies the entire system from end to end.
Sanity testing is mostly not documented/scripted.Smoke testing is mostly documented/scripted.
Smoke Testing’s main goal is to verify “stability”.Sanity Testing’s main goal is to verify “rationality”.


Here, we have made a comparison between sanity and smoke testing. Here we have concluded that the execution of smoke testing and sanity testing is required to test the application.

These are the basic testing concepts that are followed by most of the QA teams in various software development projects.

The beginner in testing needs to know Smoke and Sanity testing’s basics for effective and good Quality Assurance outcomes.

Both smoke testing and sanity testing can either be implemented manually or with automation tools. Tests are started to create the build repeatedly when automation tools are used.

As per the software’s need, we can execute smoke or sanity testing in a similar software build.

In the software industry, test cases for Sanity Testing are mostly shared with smoke tests to accelerate the test execution process.

Both Sanity and Smoke testing are various ways to avert delay and power by quickly defining whether an application is too damaged to excellence any drastic testing.

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Software Testing Differences:

Automation Testing Vs Manual TestingFunctional Testing Vs Non-functional Testing
Test Case Vs Test ScenarioSelenium Vs Protractor
STLC Vs SDLCUnit Vs Integration Testing

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