We will see Smoke Testing vs Regression Testing in that Purpose, Scope, Timing , Test depth, Test Cases, Time, Frequency, Focus, Regression and Bug Fixes,
Find out how Smoke Testing and Regression Testing differ from one another in the software testing process.
Investigate how Smoke Testing tests for basic functionality while Regression Testing looks for regressions and unintended problems to ensure overall system stability.
Learn when and how these testing techniques are used to improve the quality of software.
| Smoke Testing | Regression Testing | |
|---|---|---|
| Purpose | To quickly assess the basic functionality of an application | To validate that existing functionalities are still functioning |
| Scope | Core functionality and critical features | Full or selected portions of the application/system |
| Timing | Performed early in the testing cycle | Performed after making changes or updates to the application |
| Goal | Identify major issues or showstopper defects | Catch unexpected issues or regressions introduced by changes |
| Test Depth | Surface-level testing of key features | In-depth testing, including both new and existing functionalities |
| Test Cases | Limited number of basic scenarios | Extensive test cases covering various scenarios and edge cases |
| Time | Quick execution | Time-consuming, especially for comprehensive regression suites |
| Frequency | Conducted on each new build or version | Conducted after making significant changes or updates |
| Focus | Basic functionality and stability | Overall system stability and compatibility with changes |
| Regression | Typically not a primary focus | Primary focus is on catching regressions and unintended issues |
| Bug Fixes | Critical bugs are identified for immediate attention | Existing bugs are retested to ensure they have been resolved |
The key differences between Smoke Testing vs Regression Testing are highlighted in this table.
While Smoke Testing focuses on quickly evaluating an application’s core functionality, Regression Testing is more thorough, checking the overall system stability and identifying regressions brought on by changes or updates.
The reliability and quality of software applications are significantly impacted by both types of testing.
