About this talk
Session name: Fuzz Testing Web APIs: Overview of Existing Tools
Speaker: Andrea Arcuri
Session Description: Verifying the correctness of Web APIs is often an expensive and tedious task.
For example, writing test cases to send HTTP requests and verify API responses requires both expertise and significant time investment. Automatically generating test cases to uncover functional faults, identify security vulnerabilities, and ensure requirement coverage would therefore be highly beneficial.
While you can feed an OpenAPI schema into your large language model (LLM) of choice to generate test cases, the results are typically shallow.
In recent years, advances in AI have led to the development of several specialized open-source tools—such as EvoMaster, CATS, Restler, and Schemathesis—that are designed to address this challenge. However, most testers and developers in the industry are still unaware of these powerful solutions.
This talk will summarize the current state of the art in automated API testing, highlighting the strengths and limitations of these tools. We will also briefly share our own experiences introducing these techniques in large enterprises such as Meituan and Volkswagen."
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