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LLM-Based Test Generation: Information Sources, Generation Strategies, and Quality Evidence
Large language models are increasingly used to generate test scenarios, executable test suites, assertions, interaction sequences, and fuzzing infrastructure. These artifacts serve different purposes and rely on different sources of information about correct behavior. A test that increases implement
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