Table of Contents
Conceptual
API testing is a form of software test which analyzes an API to ensure it meets its expected functionality, security, and reliability. These testing can be performed directly on the API, or as part of integration testing. An API is middleware software that allows two programs to communicate with one another. This code specifies how an application requests services from other applications or the operating system (OS).
Three layers are common for applications: a data layer; a service layer — called the API Layer — and a presentation level — which is the user interface (UUI). The API layer contains the business logic of an application. This is the guideline for how users interact with the apps’ functions, services and data. API Tester is about analyzing both the business logic and the security of the app and the data responses. A typical API test involves making requests to API endpoints and then comparing the results with what was expected. API testing is often automated and used developers and quality assurance (QA), as well as other teams to test continuous practices.
API Tester Ensuring
API Tester automation is essential for ensuring that the final product is the best possible version. This ensures that the API implemented functions correctly in many factors such as security, performance, and other factors. It is crucial to ensure that every software has a single core API. APIs are now a key part of any application. They serve the business logic and make API testing essential. However, most software testing focuses on the GUI and does not address the functionality logic. API Tester is about testing the API ability to work under pressure. Load Testing, also known as performance testing, is similar to load testing. Here you will have multiple test scripts, test cases, and multiple operations performed to hit the API and receive a response.
How to Approach API Testing
A clear scope and understanding of how the API works should be the starting point for an API testing process. Testers should ask these questions:
- Which endpoints can be used for testing?
- What response codes can be expected for successful requests
- What are the expected response codes for requests that fail?
- What error message should you expect to see in the body of a failed request?
Testers can then apply various testing techniques once they have a better understanding of these factors. For the API Tester cases should be also written. These test cases are the conditions under which testers can determine if a system works correctly or not. After the test cases are defined, testers can execute them and compare their actual results with the expected ones. Tests should include the following:
- Response time
- Data quality
- Confirmation of authorization
- HTTP status code and
- Error codes
API testing can be used to analyze multiple endpoints such as databases and web user interfaces. Failures and unexpected inputs should be monitored testers. The API should be protected against possible attacks and response times should not exceed an agreed-upon limit. In addition, tests should be performed to make sure that users don’t cause unintended consequences to the application. The QA must also be able to handle the expected user load.
It should also examine the results of other tests, such as security and performance.
Unsurpassed Practices
- API testing best practices include:
- Group test cases category when defining them.
- In the test case, including the parameters.
- To ensure full test coverage, create test cases for each possible API input combination.
- To monitor API production, reuse, and repeat test cases.
- To produce more reliable and trustworthy results, use both automated and manual tests.
- Note what happens consistently when you test the API.
- API load testing is recommended to determine the system’s stress levels.
- Failures of APIs should always be detected. Repeat the tests until you get a failed output. It should be checked that the API fails to detect problems consistently.
- A solid plan is essential for call sequencing.
- Prioritizing API function calls can make testing easier.
- Automate the creation of documentation using a high level of documentation that is simple to understand.
- If possible, keep each test case separate and self-contained.
