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API Testing

API Testing

Application Programming Interface (API) testing helps to determine if the API is capable of meeting the functionality, security, reliability, and performance expectations. SpidronTech attaches increased importance to API testing because it c an help determine a software’s return value, effectively reflecting on the ROI.

API testing ensures that an application’s output is well-structured and may be reused by other applications. As a result, it is a set of operations that result in the interaction of application components. It entails getting access to an application’s data and features, as well as operating system and other services. As a result, an API is a tool that enables developers to create new applications.

Approaches to API testing

At SpidronTech, we understand that every application is built on APIs, which implies that testing APIs may assist a developer check an application before releasing it to the general public.

At SpidronTech, we use a multi-pronged approach to API testing. We check that it produces the anticipated output and that it is in the correct format. We put it to the test to see if it can give responses in the time allotted. We also examine how well it works with the intended layer software. Finally, our engineers will be concerned with how the API responds to situations such as unexpected input, failure, and extreme inputs. For a step-by-step guide to API testing, click here.

API performance tests

API performance tests are used to determine whether or not an API can handle a higher load. By simulating or making API requests, our engineers will test the performance and functionality. We do the following tests here:

  1. Load testing – We try to measure the limit of a system’s performance given the load. We check on the server’s conditions, throughput, and response time by increasing the calls made.
  2. Soak testing – Soak testing helps to reveal instabilities in the system, including memory leaks, which are then mended by our team.
  3. Spike testing – Helps us check whether the API functions normally after experiencing a sudden spike of users.
  4. Stress testing – It helps us establish the number of users that an API can accommodate before it starts slowing down, starts showing errors, or stops responding.
  5. Scalability testing– It helps us confirm that the system performance can be scaled according to the load it has to handle. So, we purposely attempt to increase incoming requests and establish whether it results in a proportionate response time increase.
  6. Peak testing – Here, the API is subjected to a heavy load with a reduced track time.
API-Performance-test
Functional-API-tests

Functional API tests

In this process, we assess identified functions in the codebase to ensure that the API works as We evaluate identified functions in the codebase during this phase to ensure that the API performs as intended, including returning the required result from any input and fixing mistakes when the output is outside the expected parameters. Our engineers use negative testing to watch how the API responds to each input in order to get the intended outcomes. Additionally, we do positive testing, which analyses API functionality when the input meets the standards.

API security tests

We assess an API’s vulnerability and how vulnerable it is to external attacks. The test focuses on access restrictions, permission, and authentication and helps us check that the security criteria are satisfied. The sort of authentication required, data encryption, and authorisation checks are all examined. Here are some of the tests we run to do all of this:

Fuzz testing – It assists us in determining an API’s absolute limit. To accomplish so, we randomly input a large quantity of data and see if the API can handle it. We keep track of any overflows or forced crashes.

Penetration testing – It tests if the API is under attack and determines if reaching the vector is one option.

API-security

Penetration testing

Penetration testing is used to see whether an API is vulnerable and to see if accessing the vector is a viable possibility.
We also do other critical API testing, such as reliability and integration tests. We’ve invested in a variety of technologies, some of which are automated, in order to get the greatest outcomes. Here are a few of the most useful tools we employ.

API security tests

It is a popular API testing tool that validates the API and HTTP. With this tool, you can test the API if you have some limited JavaScript knowledge.

API-security
API-Request

Requests

It is another Apache2 license tool that simplifies HTTP requests and tests connections.

  1. Load testing – we try to measure the limit of a system’s performance given the load. We check on the server’s conditions, throughput, and response time by increasing the calls made.
  2. Soak testing – They aid in the detection of system instabilities, such as memory leaks.
    Spike testing allows us to see if the API is still working properly after a rapid surge in users.
  3. Stress testing –It enables us to determine the maximum number of users that an API can support before it begins to slow down, display problems, or cease responding.
  4. Scalability testing– It enables us to verify that the system’s performance can be scaled in response to the load it must handle. As a result, we make an intentional effort to increase incoming requests and see if this leads in a corresponding rise in response time.
  5. Peak testing – here, the API is subjected to a heavy load with a reduced track time.

Rest Assured

It helps in creating REST API testing tool Script. It requires strong coding skills and could be used to test API services

  1. Fuzz testing – it helps us establish an absolute limit of an API. To do this, we input a massive amount of data randomly and check if the API can stand it. If there is an overflow or forced crash, we take note.
  2. Penetration testing – It assesses whether the API is under attack and whether accessing the vector is a viable possibility.
    We also do other critical API testing, such as reliability and integration tests. We’ve invested in a variety of technologies, some of which are automated, in order to get the greatest outcomes. Here are a few of the most useful tools we employ.
Rest-Assured

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