When should we do API testing?
API testing involves testing the application programming interfaces (APIs) directly and as part of integration testing to determine if they meet expectations for functionality, reliability, performance, and security. Since APIs lack a GUI, API testing is performed at the message layer.
What should be tested in API testing?
So, what aspects of the API should we test?
- Verify correct HTTP status code. For example, creating a resource should return 201 CREATED and unpermitted requests should return 403 FORBIDDEN, etc.
- Verify response payload.
- Verify response headers.
- Verify correct application state.
- Verify basic performance sanity.
Does API testing require coding?
Automated testing requires you to use a testing tool, like SoapUI, while manual testing consists of writing your own code to test the API. API testing is one of the areas where automated testing is highly recommended, particularly in the world of DevOps, agile development, and continuous delivery cycles.
What do you need to know about API testing?
Testing APIs involves making HTTP requests (get, post, put, delete, etc) and then verifying the response. A developer does not have to necessarily tell you what API calls the web application is making. All modern browsers ship with what is termed as ‘Developer Tools’ to inspect what the application is doing under the hood.
Why do developers not do their own testing?
One reason is that they work within one section of the application code and don’t understand how the entire application works. In other cases, developers have told me that they don’t make mistakes. And I’m not the only one who has heard this.
What does an API mean in software development?
An application programming interface (API) is a set of rules and specifications that software programs can follow to communicate or ‘interface’ with each other. It allows one piece of software to talk to other component using an agreed request and response format.
Why is API testing considered black box testing?
Since API testing is considered a type of black-box testing, both types of testings are driven by input and output data. There are a few suggestions for test scenario generation: