RESTestBench shows that LLM-generated REST API test effectiveness drops when interacting with faulty or mutated code, especially for vague requirements, indicating that high-detail requirements make direct SUT interaction unnecessary.
Restifai: Llm-based workflow for reusable rest api testing,
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
citation-role summary
background 1
citation-polarity summary
fields
cs.SE 2years
2026 2verdicts
UNVERDICTED 2roles
background 1polarities
background 1representative citing papers
ARMeta uses multi-agent LLMs to identify and execute metamorphic relations for REST API testing, showing complementary coverage to scenario-based baselines on two public applications.
citing papers explorer
-
RESTestBench: A Benchmark for Evaluating the Effectiveness of LLM-Generated REST API Test Cases from NL Requirements
RESTestBench shows that LLM-generated REST API test effectiveness drops when interacting with faulty or mutated code, especially for vague requirements, indicating that high-detail requirements make direct SUT interaction unnecessary.
-
Multi-Agent LLM-based Metamorphic Testing for REST APIs
ARMeta uses multi-agent LLMs to identify and execute metamorphic relations for REST API testing, showing complementary coverage to scenario-based baselines on two public applications.