QA Testing

Key Differences Between Smoke Testing and Regression Testing

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There are no shortcuts when building quality software. As teams release updates more frequently, having the right testing strategy in place helps ensure stability, catches issues early, and keeps development moving forward.

Smoke testing and regression testing both play an essential role in that process. While they’re sometimes confused, they serve different purposes. Smoke testing quickly checks whether a build is stable enough for further testing. Regression testing comes later, confirming that recent code changes haven’t broken existing functionality. Used together, they provide coverage at two critical points in the development cycle.

Understanding when and how to use each testing method can help teams launch with more confidence and fewer surprises.

Person holding a mobile phone and pointing to it with their right hand.

Why Smoke Testing is Important

Smoke testing originally comes from hardware engineering, where a simple “smoke test” was run to catch major issues — literally checking if a device would start smoking after being powered on. The idea was simple: If the basics don’t work, don’t dig any deeper.

In software development, the concept works the same way. Smoke tests are a quick check to confirm that a build’s core functionality is working before investing time in more thorough testing. Teams typically run smoke tests immediately after deploying a new build to catch showstopper bugs early.

Core Characteristics

  • Performed early after a new build is deployed
  • Test core functionalities (e.g., can you log in, open main screens, run a basic operation)
  • It doesn't go deep into functionality or edge cases.
  • Quickly validate whether a build is stable enough for further testing.

Examples of Smoke Testing Scenarios

Imagine a tester is working on an e-commerce application. During a smoke testing round, they might test the following scenarios:

  • Can the homepage load?
  • Can users log in?
  • Can items be added to the cart?
  • Can the checkout page open?
Person using a tablet device that is laid flat on a table. On the screen is a mockup of an e-commerce store and a product page for a red dress.

These features determine whether the app is unusable in any way. With smoke testing, teams can quickly decide whether to proceed with deeper testing or return the build for fixing.

Why Regression Testing is Important

As software evolves, so does its complexity. New features are added, old ones get updated, and even small changes can have unexpected ripple effects. That’s why regression testing plays such a key role — it helps ensure that updates don’t break the parts of your application that were already working.

Regression testing checks existing functionality after code changes are made. It’s designed to catch bugs that may have been reintroduced or created unintentionally, especially in applications with frequent releases. The more consistently regression testing is performed, the more confidence teams can have in the quality and stability of their product.

Core Characteristics

  • Performed when new features are added, or existing features are modified
  • More thorough and time-consuming than a round of smoke testing (i.e. usually involves testing the whole application)
  • Checks existing features for any kind of functional regression or reintroduction of known bugs

Example Regression Testing Scenarios

Imagine a tester is reviewing a travel application after a new feature was added to improve the booking experience. During a regression testing pass, they might check the following:

  • Create account, log in options, and account management
  • As a guest, search and filter for a listing
  • As a guest, complete a booking
  • As a guest, manage a current or past booking
  • As a host, create a new listing
  • As a host, manage a portfolio of listings
User browsing a travel marketplace on a laptop while viewing a photo library on their phone.

Because regression testing is designed to check for any unintended side effects, it usually spans most — if not all — of the application’s workflows. It’s a final check to make sure nothing goes wrong before a new release goes live.

How Smoke Testing and Regression Testing Work Together

Both smoke testing and regression testing play important roles in the development cycle — and while they share some similarities, they serve different purposes. Understanding how they work together helps teams build more reliable software, faster.

What They Have in Common

  • Include testing of core functionality in the application
  • Completed routinely with each new build release
  • Can be performed through either manual or automated methods

How They Differ

  • The primary goal is different: smoke testing checks if a build is stable enough for further testing, while regression testing takes a deeper look to ensure recent changes haven’t introduced any bugs.
  • Smoke testing happens early in the development cycle; regression testing comes later after new features or fixes have been added.
  • Regression testing takes more time and covers more ground. Smoke testing is quicker and focuses on a smaller set of critical functions.
A diagram comparing the similarities and differences between a smoke test and a regression test based on the information listed above

Essential Testing

Applications naturally evolve — both before launch and long after release. With every new update, there’s a risk that something breaks or slips through unnoticed. That’s why smoke testing and regression testing are essential: they help teams catch issues early and protect the quality of the user experience.

At PLUS QA, we help teams put the right testing processes in place — from quick build checks to full regression passes. With more than 17 years of experience testing web, mobile, AR/VR, and IoT applications, we know how to build flexible test plans that catch critical bugs early and keep quality high through every release.

Contact us today to learn more about smoke testing, regression testing, and all of our functionality testing services.

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