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Large Language Models for Fuzz Testing in Microservices: A Systematic Literature Review
Microservice systems (MSS) increasingly rely on heterogeneous APIs whose combinatorial input space and stateful dependencies challenge traditional fuzz testing. Meanwhile, Large Language Models (LLMs) have recently been introduced to enhance fuzzing with semantic reasoning over specifications, input
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