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Reach Quality and Coverage Goals With API Testing

Today’s distributed software environments incorporate a variety of APIs with every interface your software touches, from mobile to microservices. Each API has to be continuously tested and verified to ensure your software functions as it should. Parasoft’s API testing platform makes quick, efficient, and intelligent work of such requirements.

What Is an API?

API stands for application programming interface. An API is a software intermediary, or go-between, that enables two apps to communicate with each other. For example, every time you interact on Facebook, purchase a product on Amazon, or check the news on your phone, APIs are at work.

An API operates like this: when you utilize an application on your computer or phone, the app connects to the Internet, sending your data to the server. The server downloads the information, interprets it as needed for the app, then returns a response to the phone or computer in a way that you can understand and use it.

What Is API Testing?

The reason testers test APIs is to find out if the APIs meet expectations for functionality, security, performance, and reliability. API testing is essential because APIs are the primary interface in application logic and because testers have found that GUI tests (graphic user interface tests) are challenging to maintain and provide limited coverage, taking into consideration the recurrent changes in DevOps and Agile software and abbreviated release cycles. Companies have found that adding API testing significantly expands their application test coverage.

Testers test APIs directly, in other words, in isolation, as a component of end-to-end testing in integration testing. Outside of RESTful APIs, transactions include various endpoints, for example:

  • Web UIs
  • Mainframes
  • ESBs
  • Web services
  • ERPs

Testers test APIs that a development team produces. In addition, they test the APIs the team uses in the application, including any third-party APIs. The tests determine if the APIs return the appropriate responses in the correct format for a wide range of conceivable requests and if the APIs react appropriately in unusual or extreme inputs and to failures. Testing normally includes SOAP web services or REST APIs with XML or JSON message loads with the system sending over JMS, HTTP, HTTPS, and MQ. Other message formats testers use during tests are EDI, FIX, and SWIFT.

Typical API automated testing involves the following:

  • Unit testing
  • Load testing
  • Functional testing
  • Security testing
  • Detection of runtime errors
  • Web UI testing
  • Penetration testing
  • Fuzz testing

For details about the specific tests that developers use to test APIs, see the Types section below.

The Benefits of API Testing

Machine-to-machine and headless communications are standard in modern software architectures, as are associated application programming interfaces. This means practically every industry that runs on software benefits from using API software testing to ensure functionality to verify correct operation.

API Automation Testing Saves Time — and Headaches

Today’s high-pressure, Agile DevOps environments mean you can’t rely on manually executed API testing tools. Parasoft automates the continuous testing of the complex network of distributed systems your APIs call. The event monitoring framework enables end-to-end validation of test scenarios aligned to API formats and protocols. It’s all integrated into your CI/CD pipeline.

Reduce Testing Complexity

APIs are complicated. That means testing them can get complicated too, often requiring extensive technical know-how. But you want your developers to develop, not spend time creating test cases. Parasoft’s automated API testing platform has an easy-to-use, GUI-driven interface that needs no scripting, enabling less experienced testers to create comprehensive test case scenarios.

Access Total Coverage

Some tools test just APIs. Others test just UIs. You no longer need a piecemeal approach to ensure that every aspect of your software development process is covered. The Parasoft continuous quality platform tests from start to finish — from unit tests to API, UI, and more. You get comprehensive coverage and seamless collaboration.

Don’t Just Test — Test Intelligently

With the massive number of moving parts, API testing involves, you want to know which changes have the greatest impact and which ones to work on first. Parasoft’s AI and machine learning-driven API testing platform generates meaningful and comprehensive test scenarios correlated to the application code. When change occurs, Parasoft identifies which tests need to run to validate only the modified code, to avoid expending unnecessary time and effort.

Proactively Manage Change

APIs change. When such changes go untested, your applications behave in unexpected ways. You spend too much time pinpointing the problem and updating your library of dependent test case scenarios. Parasoft’s API testing platform continuously and intelligently monitors for change so your application is always verified and your test suite is always up to date. Smart Test Execution identifies which tests align with the code changes so you can optimize testing workflows.

One Testing Tool Covers All Your APIs

Yes, you have to test every API interface. The problem: every API has its own unique way of communicating with a dizzying array of messaging formats and protocols. Ensuring functionality for every permutation and combination can be a massive time sink. Parasoft’s automated API testing platform covers the widest range of messaging protocols and formats in the industry. They are fully extendable to cover proprietary formats or custom protocols.

Screenshot of Parasoft SOAtest and Virtualize API testing.

Parasoft’s API testing platform enables you to proactively manage change by automatically monitoring APIs and services and visually highlighting where updates have occurred.

Types of API Tests

In order to cover all the bases, testers employ a range of tests to test APIs. Here are the main ones.

Functional Testing

This testing tests specific functions in the code.

Penetration Testing

During this test, testers discover whether users with little API expertise can gain access to the full API including information about processes, functions, and resources.

UI Testing

UI testing tests the API’s user interfaces. It focuses mainly on the interface that connects with the API as opposed to the API testing itself.

Load Testing

This type of testing verifies that the app performs correctly under both peak and normal data inputs.

Runtime and Error Detection

This test relates to the API’s actual operation, focusing specifically on the outcome of when the APIs utilize the API codebase. It concentrates on one or more of these: execution errors, monitoring, error detection, resource leaks.

Validation Testing

This testing is essential and happens in the final steps of the development. It confirms various features and the correct behavior of the product and also efficiency.

Security Testing

This testing confirms that the API application is safe from external threats. It includes testing the structure of access control, user rights management, validating encryption methodologies, and authorization validation.

Fuzz Testing

This is another security test. Testers input a large amount of miscellaneous data (fuzz or noise) into the system to force negative behavior or program crashes. These tests stress APIs for worst-case situations.

Use dynamic application security testing (DAST) to perform penetration testing as part of the development workflow to identify potential security risks earlier.

Screenshot of Parasoft SOAtest API security testing

Top 5 API Testing Best Practices

For APIs to perform reliably including addressing security concerns, we present five top test practices.

1) Test a wide span of corner cases and conditions and use automated validation extensively.

A high level of automation provides an array of functional test scenarios which you can replicate systematically.

Use an intuitive interface to automate complicated cases over databases, microservices, the messaging layer, etc. This includes:

  • Specifying automated test cases along a wide range of test types and protocols that developers use for APIs like HTTP/REST, Swagger, Kafka, MQ, JSON, EDI, JMS, and fixed-length messages.
  • Parameterization of validations, test loads, and configurations from test cases, data sources, or variables.
  • Definition of high-level test logic but without scripting.
  • Visualization of how events and messages move through architectures while tests execute.
  • Automation of full omnichannel validation along numerous endpoints and interfaces included in end-to-end test cases.

2) APIs continually change, which presents risks in security and quality for companies that don’t keep up.

Therefore, it’s essential to recognize when API changes occur and easily, quickly, and accurately update test assets to align.

The key is to develop a system that assesses changes needed for current tests and then updates them or even creates new tests. This can substantially reduce the time and effort it takes to be sure that your tests do not fail as a result of unexpected changes and that they don’t ignore new functionalities.

3) Use service virtualization for simulated test scenarios.

This allows you to create simulated test cases, which in turn allows you to view behaviors of dependent resources that you may have a hard time accessing, that you may have difficulty configuring for testing, or that are not yet available.

These resources might be web services, databases, mainframes, or third-party applications, among others. You can use service virtualization together with OS and hardware virtualization to gain access to the required environments. Combined, this allows you to test faster, earlier, and more thoroughly.

You can apply service virtualization in two ways with regard to API testing:

  • Simulate access to the behavior of the dependent resource, such as a database, a mobile app, a third-party service, or a legacy system.
  • Simulate your API’s behavior by developing a test scenario API users can create and test for that doesn’t affect the production product. This also allows development and subsequent testing even if APIs are not yet complete.

4) Use service virtualization for extensive performance testing.

APIs are highly exposed. Thus, a great potential for volatile and unpredictable traffic exists. It’s wise to use broad performance testing to determine if your API meets expectations when it encounters surging demand or erratic behavior. Here are some examples.

Service virtualization allows you to create simulated test scenarios that assist you in testing various performance environments that are normally problematic to create in a test situation. You can test conditions like timing, delay, and latency to replicate typical, peak, and slow performance in an effort to plan for a cloud burst or someone accessing the API from a remote location on another continent.

In addition, you can create various failure and error situations that testers often find hard to reproduce in the actual program – like if your APIs use Amazon Web Services, you can create a scenario that simulates a situation where AWS is offline.

You can also configure a wide range of situations in dependent systems in order to discover if your APIs deliver proper responses under non-ordinary conditions and also if they fail reasonably well.

You may replicate links to third-party applications, which can negate any risk your tests may have on services that you are not normally allowed to attack with test data or for which you are not budgeted.

5) Test broadly for security issues using service virtualization.

APIs unfortunately offer a large surface attack area. To help stop attackers and major security problems, use a multi-faceted test approach. This ensures that you have written the necessary measure of security into the application. The approach includes:

  • Creating a wide range of penetration and attack situations that involve injections, parameter fuzzing, big payloads, and so on.
  • Implementing complex encryption, authentication, and access-control testing situations.
  • Running penetration attacks aimed at existing operational test situations.
  • Monitoring the backend as you test to discover if security has been compromised.

As a money saver, service virtualization allows non-security experts to perform tests because they are not writing code but simply executing proven tests in a wide variety of scenarios. And service virtualization enables you to target your API’s responses to a variety of dependency security behaviors and in numerous attack situations.

Examples of When to Perform API Tests

Here are two examples of situations in which you would want to perform API tests.

Social Media App Example

When a person opens an app like Instagram or Twitter, the app asks her to sign in. She can do this on the app itself or via Facebook or Google.

When the user employs either of these two web sources, it’s understood that the app has an agreement with Facebook and Google, so the app can access some of the information about the user that she has previously supplied to the sources.

Testers can test the APIs that give the app the ability to access the information it needs. The tester can also test to make sure the social media app works with Facebook and Google successfully to give the user access to the app.

Travel Booking App Example

When a person uses a web service like Kayak or Expedia to book airline tickets, he anticipates that he’ll see cheap flights for the date he needs to fly.

The travel app has to communicate with the participating airline companies to show the traveler the best flight times and prices. APIs make this happen.

Testers can test to make sure the APIs that give the travel app the ability to communicate with the airline companies are working correctly and that the app is supplying the proper information to the user.

The testers can test to make sure the APIs that help book the flight are working as expected and verify the payment component – the tester can test the APIs that allow the app to communicate with credit card companies and properly process payments, and those APIs that keep the user’s personal and financial data safe.

How to Get Started Testing APIs

Testing APIs focuses on ensuring that a development and QA team does what it is supposed to do, guaranteeing that applications perform and function properly, and are reliable and secure.

Automated API testing avoids human error and drudgery and is therefore far superior to manual testing. To prevent bugs early in the software development lifecycle, we recommend incorporating automated API testing into your continuous integration testing pipelines.

Get details and guidance on choosing the best API testing platform for your organization in the whitepaper, How to Choose the Right API Testing Solution.

Black woman smiling as she performs API testing on her laptop.

Why Parasoft?

Parasoft’s API testing platform is widely recognized as best-in-class, with innovative tooling and broad support for over 120 message formats and protocols. With visual drag-and-drop tooling, users can create the most complex test scenarios without having to write a single line of code. Things like test flow logic, complex assertions, looping, data driving, and keyword association, such as BDD with Cucumber, can all be easily built with minimal technical experience.

Additionally, API test suites can be reused for nonfunctional validation, including load, performance, and API security testing. This increases application coverage and quality with minimal rework and effort.

Partner with Parasoft to improve your API testing.

Frequently Asked Questions

Testers perform API testing almost entirely on an app’s business layer, between UI and data sources. Ideally, they test all of these layers.

No major limitations exist but you need to have a good API testing skillset to be a tester.

API testing consists of three main steps.

  1. Send a request along with the required input data.
  2. Receive the response with the output data.
  3. Verify that the response you receive is correct according to the API’s specifications.