![]() Postman provides a mocking service that allows you to define an API endpoint with the expected input and output. With API testing, you can start testing when the API is complete, even if the front-end components have not been started.Īdditionally, with mocking you don't even need the API to be complete. One of the drawbacks with UI testing is that you need the developer to develop the functionality before you can really start building the the guts of the test automation. Postman provides an easy mechanism to define specifics about each of your environments and to quickly switch between them. For example:Įnter fullscreen mode Exit fullscreen modeĪs you build and run tests, you'll typically need to run the tests in a number of environments, such as local, dev, test, UAT, etc. These scripts are typically used to pass data between related API calls in a collection, and to verify the results from the API request match the expected results. Postman allows automation developers to use JavaScript in any API request to interact with the API request, API response, and global and environmental variables. ![]() Collections allow you to organize your API requests in folders and subfolders, and the requests can be run together in Postman via Collection Runner. ![]() Google has announced plans to end support of Chrome apps in the near future, so the native standalone app is the way to go.Įverything with Postman starts with collections, which is how you store and categorize your individual API requests. Postman is available as a standalone client, and also as a Chrome app. Postman is an HTTP client marketed to both developers and testers to support development and testing of APIs. I have used Postman for a number of years for quick manual testing of REST services, but only recently have I really started looking at everything it provides. There are a number of tools that can be used to test APIs, such as SoapUI and REST Assured. ![]() API tests are necessary for APIs that don't have a UI, such as APIs that are consumed by IoT devices or other services.API tests are less brittle, therefore less costly to maintain.API tests can be created before the API is developed by using mocking frameworks.API tests can find bugs earlier, before the UI layer is created.API tests run much faster, so we can get faster feedback to the developer.API tests allow for more code coverage, since it's easier to test different code paths and error situations.So why do we want more API tests that UI tests? I can think of at a number of reasons: UI tests are a lot more fun to demo compared to a command line API test.Most folks working in QA automation have more experience with UI automation.The business user can easily relate to UI tests.UI tests are easy to map to user stories.It's easy to understand the infatuation with UI tests: Unit testing is the handled by the developer, UI testing is handled by QA, and API testing is typically a somewhat shared responsibility.Īt times a QA team will focus on UI testing and ignore API testing. The test pyramid is a diagram used to visually depict test types, and to give some general guidelines on how many of each to create.Īs you can see from the pyramid, a well-rounded automated test suite should have a large number of unit tests, fewer API or integration tests, and even fewer end-to-end UI tests. If you've worked in QA automation for awhile you have no doubt heard of the test pyramid.
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