Automation is a core part of a developer's everyday duties. It's the catalyst for streamlining your API automation testing workflows, helping you give tasks like continuous integration and deployment an efficiency makeover.
55% of businesses using automated testing strategies see fast quality improvement, and 97% say API automation testing is “essential” for ensuring robust and reliable integrations. This strategy guarantees consistent API performance, reduces human error, and provides rapid feedback to development teams when they need it most.
This early detection reduces the time and effort required for bug fixing, giving devs the power to maintain fast-paced development cycles while continuously verifying API functionality.
The Role of API Automation Testing
API automation testing focuses on the interactions between different components and verifying that your API behaves correctly. It automatically sends requests to your API endpoints, validates the responses, and checks for proper functionality, performance, and security automation capabilities.
Understanding the role of API automation testing is a crucial step toward adoption. After all, you probably already write unit tests for many parts of your application to ensure individual components are working as expected. However, unit tests alone aren't sufficient to guarantee the overall quality and reliability of your API. With the pace of agile development and the frequency of code changes, manual testing becomes time-consuming and error-prone.
Where does API automation testing fit into the shift-left methodology?
Shift-left has been gaining ground as a methodology that emphasizes testing early and often in the software development lifecycle. The idea behind shift-left is to involve testing activities from the very beginning of the development process, rather than waiting until the end. By doing so, developers can identify and fix issues more quickly, reducing the overall cost and time associated with bug fixes and improving the quality of the final product.
API automation testing embraces some of the key ideas from the shift-left methodology. Automating API tests and integrating them into the development workflow enables you to start testing your API as soon as new endpoints or features are implemented.
Types of API Automation Testing
Functional Testing
Similar to how you might write unit tests to ensure individual functions in your code are working correctly, functional testing focuses on verifying that each API endpoint behaves as expected, sending requests to the API with various input parameters, and validating the responses against the API specification.
Functional tests cover positive scenarios (where the API should return a successful response) and negative scenarios (where the API should gracefully handle errors or invalid inputs).
Performance Testing
Performance testing assesses how well your API performs under different load conditions, stress-testing your application to see how it holds up when pushed to its limits. With performance testing, you simulate high traffic or concurrent requests to your API and measure metrics such as response time, throughput, and resource utilization, helping identify bottlenecks and where optimizations can be made.
Security Testing
Security tests seek to expose weaknesses and vulnerabilities in your application, usually through techniques such as fuzzing or code scanning.
UI Testing
While API testing primarily focuses on the backend, UI testing is equally important, too. As a developer, you want to ensure that your application's UI elements are in the right place.
Critical Challenges of API Automation Testing
Scope
Limiting or defining how much of your API you want to test can be challenging. Exhaustive testing of every single endpoint, parameter, and scenario might seem ideal, but it can quickly lead to an overwhelming number of tests that are difficult to manage and maintain.
Maintenance and Change
At the end of the day, there are still tests that need to be maintained and updated. As your API evolves, so should your test suite. Every time you make changes to your API, whether it's adding new endpoints, modifying existing ones, or updating request/response formats, you need to update your automated tests accordingly.
Managing Environments
Managing environments for API automation testing is tricky because it's hard to keep configurations, data, and dependencies consistent across different environments, which can lead to unreliable tests and wasted time troubleshooting. Plus, limited access to certain environments, environment instability, and the complexity of automating environment creation and teardown further complicate the process.
6 Steps to Run API Automation Testing
1. Identify and Prioritize
The first step is to identify all the APIs your application uses and prioritize them based on their criticality and usage. Focus on the APIs that are essential to your application's core functionality and have the highest impact on user experience if things were to go wrong, which help you allocate your testing efforts effectively.
2. Review Your Docs
Your documentation is typically the first point of contact for end users. Reviewing them as part of your API automation testing efforts will enable you to understand what endpoints users might struggle with or are more likely to produce bugs.
3. Define Test Scenarios
Based on your API documentation, define a comprehensive set of test scenarios. Cover positive cases to verify that the API returns valid responses for valid requests. Also, include negative cases to ensure the API gracefully handles invalid or missing inputs.
4. Create Test Data
To execute the test scenarios effectively, you need realistic and diverse test data. Testing your API with inputs such as “ASDVFDKFKBLD” might be less effective than considering usernames with special characters, so keep this in mind. Above all, ensure that the test data is as close to production data as possible to simulate real-world scenarios accurately.
5. Choose the Right Testing Tools
Select the appropriate testing tools based on your requirements and preferred programming language. Various API testing tools are available, ranging from open-source frameworks like Postman, REST-Assured, and Karate to commercial tools like SoapUI and Tricentis Tosca. When choosing the tools, consider factors such as ease of use, API test automation capabilities, and integration with your existing development workflow.
6. Use Mocking Techniques
While mocking tests can be powerful for simulating dependencies, overusing mocks can lead to testing the mocks themselves rather than the actual API code. Strike a balance and use mocks only when necessary. For load testing, tools like K6 by Grafana support writing tests in JavaScript and can handle various protocols, including HTTP and gRPC.
While the primary focus here is APIs, don't neglect UI testing, as some API endpoints might be triggered through user-specific interactions. Tools like Selenium have been around for a while and are battle-tested. Modern alternatives like Chromatic offer integration with modern web frameworks.
Automating API Testing and More With AutoKitteh
API automation testing aligns with the shift-left methodology. By incorporating automated tests early in the development cycle, your team can catch bugs faster, reduce costs, and improve the overall quality of their APIs.
API automation testing is just one piece of the puzzle in your wider automation and workflow processes. AutoKitteh helps you streamline all aspects of automation by enabling you to orchestrate the testing of long-running business processes and workflows.
AutoKitteh is a developer-first, open-source, serverless workflow automation platform where you code the business logic and AutoKitteh takes care of the rest: API integration, scalability, reliability, deployment, monitoring, and more. Build durable workflows to orchestrate microservices and APIs, making your life easier when it comes to testing and more.
Try AutoKitteh now!