➣ Verify  the API output status 

The response status code is the most common API result that needs to be verified during API testing.HTTP response messages include a Status-Line field that informs clients of the result of their request. These standard status codes are defined by HTTP and can be used to communicate the results of a client’s request. The five different types of status codes. 

          ● 1xx informational response – the request has been received; the process will continue.

          ● 2xx successful – the request was received, comprehended, and accepted successfully.

          ● 3xx redirection – additional action is required to finish the request.

          ● 4xx client error — the request has incorrect syntax or can’t be completed.

          ● 5xx server error – the server failed to fulfill what appeared to be a legitimate request.

➣Organize your APIs

An endpoint on the API Platform exposes an API recipe’s functionality and output data. Similar endpoints are grouped into an API collection, where other users and apps can consume the endpoints. If you have a testing project that includes several or even hundreds of APIs for testing, we highly recommend you organize them into categories for better test management. This one additional step will greatly help you create test scenarios with high coverage and integration.

➣Test for the typical or expected results first

The purpose of stress testing is to identify the points at which the software no longer works as expected. API testing differs from other types of software testing, such as UI and end-to-end testing, in that it focuses on API calls rather than the application’s frontend or client-side code. A performance test can request your live API or a test or staging environment generated particularly for the test.

Going with your production environment, of course, saves you the trouble of keeping a second copy of your system and infrastructure. However, there’s a good chance that things will go wrong during stress tests. The stress test’s entire objective is to bring your programme to its knees. Consider the ramifications for your consumers who are actively using the app. If you don’t test your API’s consumers’ error handling, you won’t know how well they handle issues. When you have specific usage patterns, such as receiving a lot of traffic on weekdays, scheduling might help you avoid this.

➣Choose a suitable automation tool

Many automation tools are available on the market, but not every tool matches your project requirements. Choosing the best tool may require examining the project specifics closely. The following methods can be used to choose the proper automation solution for a project in a simple yet effective manner:

• Understand your project requirements thoroughly
• Consider your existing test automation tool as a benchmark
• Identify the key requirements for a project
• Leverage Pugh Matrix Technique for Analysis
  

➣ Create positive and negative tests

To make sure that the API is functioning correctly, it must undergo both positive and negative tests. Both types of experiments are driven by input and output data, as API testing is considered a type of black-box testing.

The following suggestions can be made for the generation of test scenarios:

Positive test:

        ● Check that the API accepts input and produces the expected output as described in the requirement.

        ● Check that the reaction status code is returned according to the requirement, whether it’s a 2xx or an error code.

        ● Input should be specified with the required minimum fields and the maximum fields.

Negative test:

        ● When the predicted outcome does not exist, make sure the API responds appropriately.

        ● Conduct an input validation test.

        ● Examine the API’s behavior at various levels of authorization.

➣ For complete test coverage, create test cases for all possible API input combinations

Prepare the test input that is as close to the real payload as possible for each test. Save it as a fixture in a file. Determine which fields are interesting, significant, or have caused errors in the past. For these fields, create test cases. Rewrite a field in the payload with immense importance, a boundary value, or an illegal value in each test case, and make assertions with each payload.

          ● Understand your project requirements thoroughly

          ● Consider your existing test automation tool as a benchmark

          ● Identify the key requirements for a project

          ● Leverage Pugh Matrix Technique for Analysis

Test your APIs with Cavisson Systems’ NetStorm

NetStorm is a load generation tool that mimics the activities of hundreds of thousands of users sending requests to and receiving responses from websites in a customized and controlled manner. NetStorm achieves this by creating virtual users that make these connections to the server(s), send requests, and process the responses received in an orchestrated manner.

Apart from requests and responses, it also collects data from websites to monitor performance.Using the Scenario Configuration Wizard, you can perform API testing by adding and configuring the required transactions.