Are you tired of writing test cases manually for REST APIs? Automating this process can save time and reduce errors. But with so many tools out there, how do you know which one to choose? Let's dive into the world of test-case generation for REST APIs, focusing on black-box testing based on OpenAPI schemas.

First, understand that there are two main approaches to test-case generation: deterministic algorithms and non-deterministic AI-driven methods like evolutionary algorithms and large language models (LLMs). Each has its pros and cons. Deterministic algorithms are predictable, while AI-driven methods can offer innovative solutions but might lack consistency.

Several tools, like OpenAPI Generator, EvoMaster, and StarCoder, have been developed to help with this. But which one is best for your needs? A study by a major automotive group, Volkswagen AG, evaluated these tools using the Technology Adoption Performance Evaluation (TAPE) approach. They found these tools beneficial for test engineers, helping them create and design test cases more efficiently.

However, integrating these tools into a large industrial setup isn't always straightforward. The effectiveness and real-world applicability of these novel testing techniques and tools are still up for debate. The goal is to facilitate IT product development and service delivery, but there's a lot to consider before jumping in.

Think about the context of your project and the specific requirements. What works for one company might not work for another. It's about finding the right fit for your unique situation.

Test-Case Generation: How to Pick the Right Tool for REST API Testing

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