This is the name of a test that checks the main functionality of a given software application. The first time the term “smoke test” was used in electrical engineering and electronics. At some stage of product development, electronics engineers connect the device to the network and see if it is burning (literally). If the device does not smoke or, even worse, does not light up, then the team has made some progress. In most cases, the smoke test of an app is aimed at verifying its main functions. If they work you can start serious testing of the program. A smoke test functions as a basic indicator of the current state of the source code.
A smoke test is a simple checklist of functions that a program can perform. Start small: install the application, start it and close it. As the development cycle proceeds, smoke tests should also be developed so that new functionality of the program can be investigated. A smoke test should include at least one test for each function and each important component of the app. This means that while working in the finished product department, you should test every function mentioned in the booklets. If you are an IT department employee, be sure to test the basic functions which you promised the information manager and your customers. Remember: a smoke test does not have to check absolutely all the ways of running your program; it should be used to find out whether the program performs the basic functions. As soon as it has passed the smoke test, the employees of the technical control department can start doing their hard work, trying to disrupt the program through the use of new sophisticated ways. Quality assurance service is readily provided by competent people knowing how to release world-class digital products.
It is worth emphasizing that smoke test is a type of performance test, namely its initial run. Many forget about this essential aspect, and, as a result, face problems at later stages of the program development cycle. If you have performed a comparative test of any operation of the program (e.g., how long the latest version of the program was run), a test failure can be defined as a delay of 10% or more. People are always amazed at how often a small change in an inoffensive-looking part of the program can lead to a huge performance loss. By monitoring the performance of the program over its development cycle, you will be able to solve performance problems before they get out of control.
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