Computers are good at doing repetitive work, and running tests is almost always a repetitive job.
Testing Automation Services will allow you to write the test only once and then, from time to time, a robot will perform all the tests you wrote for your software. Your team builds confidence because automation creates a kind of protection network preventing unexpected results from spreading, giving the team the ability to resolve them before they reach customers. The tests get cheaper and your customer is more satisfied by not finding errors in your product. In the items below, we'll talk about how tests can be organized and what tools, frameworks, and libraries you can use to get started automation. We can separate automated tests into three large blocks that make up the Testing Automation Services. Unitary tests At the base, we have the unit tests. They are many because they are usually easy to build and inexpensive to maintain. An interesting point that we perceive in our journey is that the definition of Unit is different for each company. Someplace as the unit of the system (complete software), others as a module or a service. Here we adopt the concept of Kent Beck and Martin Fowler: The unit of code is a smaller part of the program containing source code. The origin of the name comes from Delphi storing the code in a Unit. For Java, C #, Python, Ruby is the class. Tools for this are many. Depending on the programming language you are using. Below is a short list of the basic tools for you to start doing unit testing on your products. Integration In the middle of the pyramid, we have the integration tests. They are those that cross the unit of the source code. For example, communication between two or more classes through a method, or communication of the software with the database and even other services. These tests are usually a bit more expensive to maintain as there is a dependency between two or more components. Changing one can influence the test of the other. Also, if your test depends on a mass of input data, you must prepare it before the tests and return your database to the original state after the test. The use of Mocks can significantly reduce this interdependence. The tools that are used for these tests are basically the same as those indicated in the unit tests. However, others can be used here as Postman for integration with APIs (services and microservices), DB Unit for integration with the database, among others. Interface and Acceptance At the top of the pyramid are the interface and acceptance tests. They are harder to build and more expensive to maintain because we need all the preparation to run them. They are black-box tests that run the user's full time interacting with the software.
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