Ensure your application maintains optimal performance under varying user loads, providing a smooth and responsive experience for end users.
What is a Load Testing?
Smoke testing is a preliminary level of testing conducted to ensure that the basic functionalities of an application or system are working correctly before proceeding with more detailed testing. It involves running a set of simple tests to check the critical functions, such as launching the application, logging in, and performing essential tasks, to confirm that the system is stable and operable.
If the application passes smoke testing, it indicates that it's ready for further, more comprehensive testing. If it fails, the issues are addressed before more in-depth testing is performed. Smoke testing helps quickly identify major issues and ensures that the core functionality is intact.
Basic Functionality Check: Smoke testing verifies that the core functionalities of an application are working properly, such as launching, logging in, and performing basic tasks.
Preliminary Testing: It serves as an initial check to identify major issues early in the development cycle before more detailed and extensive testing is conducted.
Quick and Simple: Smoke tests are designed to be fast and straightforward, covering the most critical aspects of the application without going into deep or complex scenarios.
Stability Confirmation: The goal is to ensure that the application is stable enough for further testing. If smoke tests fail, the application is returned for fixes before additional testing is done.
Early Issue Detection: Helps in catching major defects or showstopper issues early in the development process, preventing wasted effort on more detailed testing if the application isn’t functioning correctly.
Implementation Details:
- Test Cases: Smoke tests typically include test cases for critical paths and high-priority functions that must work for the application to be considered functional.
- Automation: Often automated to speed up the process and ensure consistency in test execution.
- Frequency: Performed frequently, such as after each build or major code changes, to continuously validate the stability of the application.