Smoke Testing in Software Engineering: A Comprehensive Guide with Process, Types, Examples and Best Practices (2026)

Author:  Vishwas Kale
Reviewed by:  Mandira Singh
Oct 17, 2026
14 views | 16 min read

Smoke Testing in Software Development for QA Teams and Test Automation

What is Smoke Testing in Software Testing with Example

Introduction to Smoke Testing

What is smoke testing in software testing? It is very important to understand how software testers decide whether a new application build is ready for evaluation. In this article, we will learn everything about smoke testing what it is, examples, tools and how this testing process fits into software development.

What is Smoke Testing

Smoke Testing is also known as "Build Verification Testing".

In this, testing is performed only after every new software build to verify application launches successfully or stability of software.

This is a preliminary testing process designed to verify whether the essential or important features of the application are functioning correctly following the arrival of a new build.

If the smoke test fails, the build is sent back to the developer, if it passes it is forwarded for further, in-depth testing.

Why is it called Smoke Testing (Smoke Testing Origin)

Smoke testing originated in hardware testing, specifically within the fields of electronics and hardware manufacturing.

Engineers would simply test newly built circuits or electronic devices by switching them on and observe for smoke, if any smoke appeared the unit was considered a failure and if not, it passed. On fails, they halt any further testing.

Smoke indicates a problem with a component or an issue with the design. If there was no smoke, it passed the most basic test.

 

This same concept was later adopted in software testing to check whether the basic functionalities of the software are working or not.

In the software context, 'smoke' signifies a failure such as an application failing to launch or a key feature crashing. If a build fails these basic checks, it is rejected.

Key Characteristics of Smoke Testing

Below are the main characteristics of smoke testing.

  • Shallow and wide approach of testing, where major areas of application without getting too deep is tested.
  • Test cases are scripted.
  • Only essential features are getting tested.
  • Can be done with  both manual smoke testing and automated smoke testing.
  • It takes very little time to determine whether a build is stable or not.
  • The main purpose of smoke testing is to determine whether a build can be sent forward for further testing or not.

Why Smoke Testing is Important

The importance of smoke testing lies in verifying the basic health of a new build before the testing team proceeds with in-depth testing.

It is a very important part of software development and testing process.

  • Identifies major bugs early
  • Saves time and testing effort
  • Gives quick feedback to developers
  • Supports continuous Integration
  • Improves communication between teams

When is Smoke Testing Performed in the SDLC

Smoke Testing is always performed at the beginning of the testing phase and before detailed testing start like regression testing, functional testing, integration testing etc. It is performed in these situations.

  • When a new build is created and deployed to the test environment.
  • Before release or deployment, a quick testing of all basic features and functionalities.
  • When CI/CD pipeline run, automated smoke testing runs automatically on each new build.
  • After integrating modules, When different modules are merged, smoke testing confirms that the all combined build is basic functioning correctly.
  • After bug fixes or code changes, smoke testing confirms that the basic functionality hasn't been broken.

Where is Smoke Testing Performed

Smoke testing is mainly run in the QA environment on every new build received - it is done in the staging environment before release and after release deployed to production and the smoke test is run again to check if everything is fine in live or not.

Who Performs Smoke Testing

In terms of QA vs Dev responsibility in smoke testing, the QA team or tester is mainly responsible for running the smoke tests and deciding whether the build passes or fails, though sometimes developers may also perform it or support the process, depending on the project.

Testers always do smoke testing whenever a new build arrives, before the detailed testing begins. If the build fails, the developer fixes the issue and provides a new build.

Smoke Testing Guide

Types of Smoke Testing in Software Testing

There are different types of smoke testing in software engineering performed in various ways, depending on how the software build is delivered and how the tests are to be executed. But here are four main types of smoke testing given below:

  1. Manual Smoke Testing

    A tester executes test cases manually without the use of any scripts or tool to verify critical functionality within an application. This is mostly used in cases involving smaller builds or smaller applications where automation is not required.
  2. Automated Smoke Testing

    In this, smoke test cases are automated using scripts or tools and are executed whenever a build is deployed. Most often, they run automatically via a CI/CD pipeline whenever a new build is released. This is better for projects where builds occur frequently and the application is very large.
  3. Hybrid Smoke Testing

    Both automated smoke testing and manual smoke testing are used here - automated testing for repetitive test cases and manual testing where human judgment is required.
  4. Daily Smoke Testing

    This smoke test is run daily upon receiving the latest build, which helps in promptly identifying any issues by daily code. In practice, QA team usually keeps this smoke test automated, as it is a daily and repetitive task.

Types of Smoke Testing

Tools Used for Smoke Testing

There are many popular tools for smoke testing, these tools assist the QA team in running smoke tests. Most of them support automation and can be executed within CI/CD pipelines. Choosing the right tool depends on the nature of the application, the programming language in which it is built, the team's experience and existing development workflow.

  • Selenium

    For Web UI and functional smoke testing and it is open source.
  • Playwright

    For Web UI smoke testing and it is mostly used in JavaScript and TypeScript application also, it is open source.
  • Cypress

    For Web UI smoke testing mostly for JavaScript applications and it is open source.
  • Appium

    For mobile app, android and iOS functional testing and it is open source.
  • Postman

    For API smoke testing to check endpoints and it is free and paid plan both.
  • Jenkins

    Used for CI/CD pipelines to run smoke testing automatically and it is open source.
  • TestNG / JUnit

    This is for grouping test cases so that smoke tests can be run separately from the full test suite - it is intended for Java projects and is open-source.
  • GitHub Actions

    This is used to trigger automatically a smoke test under CI/CD pipelines whenever there is a code push or a pull request. It comes with open-source with usage limits, whereas paid versions allow for more usage.

Smoke Testing Workflow

The smoke testing workflow consists of a series of steps that are performed every time a new build is received, prior to detailed testing. The steps are:

  • Receive new build - The developer creates a new software build and deploys it to the test environment for the testing team.
  • Identify the critical test cases or features - The QA team identifies test cases that cover essential features and core functionalities, such as launching the app, logging in etc.
  • Execute Smoke Test Cases - The tester runs a smoke test to check whether the essential test cases are functioning as expected or not and compare also actual and expected result as well with if any failure record.
  • Take action - If any critical functionality fails during smoke testing, the build is rejected and sent back to the developer. And then the developer sends a new build with fixes issues and smoke test is then run again on the new build.
    If it passes, build forwarded for detailed testing.
  • Report and document - The results are shared with everyone on the team so that everyone knows the outcome of the build.

 

New Build → Smoke Test → Pass / Fail → Action (Detailed Testing or Back to Developers → New Build → Smoke Test again) → Report and Document

Smoke Testing Workflow Diagram

Smoke Testing Workflow

Smoke Testing Example with Test Cases

Scenario: An e-commerce app has been developed. The development team has added a new "Apply Coupon" feature and fixed some issues on the checkout page also.

The development team has created a new build: ecom_build_3.1 and deploy it to test environment.

Who Performs Smoke Testing: The QA team will perform smoke testing of new build received ecom_build_3.1 in test environment.

Test Case ID Test Case Actual Result Expected Result Status
TC_001 Launching the application The application was launched successfully. Application launch Pass
TC_002 Login with valid credentials username and password The user was successfully logged in, and the dashboard opened. Dashboard open Pass
TC_003 Searching for a product Relevant search result are shown Search result shown Pass
TC_004 Adding a product to the cart The product that was added is visible in the cart. Product added and displaying in cart Pass
TC_005 Proceed to checkout and payment Order was placed and payment done with confirmation. Order Placed Pass
TC_006 Now logout The user gets logged out and is redirected to the login page. Logout and redirect to login Pass

Result: All critical test cases have passed in build ecom_build_3.1 - this build is now accepted and forwarded for further detailed testing including full testing of the new “Apply Coupon” feature.

If Fails: For instance, if a test case say, TC_002 fails, the tester rejects the build and sends it back to the developer for a fix. Once the developer has resolved the issue, they submit a new build, and the tester then performs smoke testing again.

Advantages of Smoke Testing

The benefits of smoke testing in software engineering are listed below.

  • Improves the overall quality of the software, because of stable build moving forward for detailed testing.
  • Major issues are detected at an early stage of the build.
  • Can be easily automated.
  • Feedback on the build is also received quickly.
  • Team time is saved by detecting unstable builds early.

Limitations of Smoke Testing

The disadvantages of smoke testing are only because of it does basic functional testing.

  • Minor defects are remain not detected.
  • Pass build does not guarantee that the software is bug free.
  • Smoke test cases need to be updated regularly.
  • Only major functionalities can be tested.

Smoke Testing vs Regression Testing: What is the difference between Regression and Smoke Testing

Smoke Testing vs Regression Testing: What is the difference between Regression and Smoke Testing

Both smoke testing and regression testing are performed on software builds, but they have different goals. Both are important types of software testing that ensure the quality and stability of an application are maintained.

Criteria Smoke Testing Regression Testing
Purpose Smoke testing is performed to check whether essential features and basic functionality are working. Regression testing is performed to ensure that existing functionality has not been broken following any changes.
Approach Shallow and wide. Deep and detailed.
Order Performed before regression testing. Performed after smoke testing.
When It happens whenever a new build is received. After making any changes to the software that may affect existing behavior.
Execution Time Usually relatively short. Usually takes much longer time.
Test Cases Small set of critical test cases. Larger set of test cases.
Automation Can be performed both manual and automated. Mostly automated.

Although passing a smoke test does not mean it can replace regression testing - because a build might pass basic checks, this does not guarantee the absence of all defects, regression testing remains necessary.

If the smoke test fails, the team postpone further regression suite testing until smoke test passed.

Conclusion

Smoke testing is a quick, shallow and wide check performed on every new build to confirm that the essential features work and the build is stable.

It saves time, catches major defects early and gives developers fast feedback. Because it is easy to automate and it fits well into CI/CD pipelines.

However a passed smoke test does not guarantee a bug free application so it should always be followed by detailed functional and regression testing.

Frequently Asked Questions (FAQs)

  • What is another name for Smoke Testing

    Smoke testing is also known as Build Verification Testing.

  • Is Smoke Testing done in Production

    Yes, Smoke testing is performed in the production environment after release, but it is first carried out in the staging QA environment.

  • Which tool is used for Smoke Testing

    There is no single, specific tool for smoke testing - the choice of tool depends on the type of application.

    For instance, for web applications, there are tools like Selenium, Cypress and Playwright. For mobile applications, there is Appium and for APIs there is POSTMAN. To run smoke tests automatically, you can use Jenkins or GitHub Actions, while TestNG and JUnit are used for grouping test cases.

  • Is Smoke Testing part of Regression Testing

    No, Smoke testing is not a part of regression testing - they are distinct types of testing and each has its own separate goals.

About the Author

  • Vishwas Kale
  • Vishwas Kale

    ,  India
    QA Lead, 10+ years of hands-on experience in software testing, test automation, and quality assurance.

A passionate technical writer who enjoys turning complex software concepts into clear, engaging content. Curious about technology, testing, and innovation, with a love for learning and sharing ideas.

About the Reviewer

  • Mandira Singh
  • Mandira Singh

    ,  India
    QA Manager, 17+ years of experience leading QA teams, testing strategies, and software quality processes.

A technology enthusiast who enjoys exploring new ideas, following software trends, and learning about digital innovation. Outside work, enjoys reading, travel, and discovering new perspectives.

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