API Testing Tools & Solutions: Reach Quality Goals

How It Works

Parasoft SOAtest employs visual drag-and-drop tooling to create test scenarios without writing a single line of code. Using a robust menu of tools to extend test cases, teams can easily validate business logic across multiple interfaces like APIs, web UIs, databases, ESBs, and mobile devices. 

Offering comprehensive support for testing over 120 different protocols and message formats, our solution establishes an integrated framework for end-to-end testing. Its flexible test suite infrastructure enables teams to easily add, organize, and execute test scenarios. Using SOAtest, testers can:

• Execute individual tests or the entire test suite with the option to attach regression controls at the test or suite level to immediately detect changed behavior. 
• Readily build test flow logic, complex assertions, looping, and data driving with minimal technical experience. 
• Seamlessly transition individual functional tests into scenario-based tests to facilitate the emulation of business logic or transactions and uncover bugs that may only manifest after specific sequences of events.

How It Works

Continuous testing is a process that empowers teams to build quality into software development and accelerate the delivery of high-quality customer experiences. SOAtest easily integrates into all popular CI/CD pipelines for execution, quality gates, and reporting. 

Teams can optimize testing pull requests by using SOAtest’s test impact analysis to identify and run the subset of test cases required to validate the application changes. Continuously publish test results into Parasoft DTP for advanced reporting, code coverage analysis, API coverage analysis, and requirements traceability. 

Leverage Virtualize, SOAtest’s sister solution, to stabilize the environment for automated testing by simulating unstable or unavailable integration and environment components. Testing teams can use Virtualize to create completely virtual test environments that can be deployed or destroyed on demand.

Read Blog: 3 Obstacles to Continuous Testing & How to Remove Them »

How It Works

Microservice testing presents a complex challenge for two primary reasons.

1. Different services utilizing diverse technologies. 
2. The need to correlate testing outcomes across the entire environment. 

Supporting 120+ protocols and message formats, SOAtest provides teams with rich support and flexibility to craft test scenarios for complex distributed systems. 

It can be difficult to measure how thoroughly microservices have been tested due to their distributed nature. Our code coverage solution helps teams understand the sufficiency of their testing practice by capturing code coverage of Java and .NET microservices as they’re exercised by end-to-end test scenarios. Code coverage is reported for each individual microservice or aggregated for the application as a whole. 

Validating modified microservices in the context of the entire application can be challenging and time-consuming. Parasoft’s test impact analysis identifies and executes the specific subset of end-to-end tests that must be run to validate changes in an individual microservice.

Read Blog: Microservices Testing Challenges »

How It Works

SOAtest’s AI-powered test impact analysis helps teams gauge what lines of code each test case executes. It automatically identifies impacted test cases when you modify code. Testers only need to execute the subset of test cases required to validate the changes instead of the entire regression test suite. They can quickly validate application changes and get fast feedback on whether the changes impacted functionality.

When API contracts change, updating the existing test cases to reflect the new schemas can be time-consuming. SOAtest’s Change Advisor helps identify test cases impacted by API changes and swiftly updates them. Change Advisor analyzes the outdated service definition file against the latest version and creates a change template that testers can apply to their entire suite of tests to automatically bulk-refactor the test cases to support the new API schemas.

Read Blog: Improving Test Execution Efficiency With Test Impact Analysis »

How It Works

Unstable and unavailable test environments often hinder the ability of QA teams to meet their goals for test velocity and automation. Service virtualization enables teams to create intelligent simulations of the components they need for API integration and end-to-end testing. 

Teams can shift left testing using Virtualize to do the following:

• Create simulations of APIs that haven’t been developed yet, so testing can take place in parallel with the development of dependent API services. 
• Create adaptive test environments that automatically fail over to a virtual service when the live endpoint is unavailable. 
• Control and modify the behavior of virtualized endpoints with ease to ensure that APIs respond appropriately and gracefully to unexpected or erroneous inputs, such as invalid parameters, missing data, out-of-range values, or other error conditions.