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University of Milano-Bicocca, Milano, Italy
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Role-based multi-agent code generation narrows the gap between AI-generated and human-written code, but still leaves room for improvement.
LexTester outperforms existing tools by generating nearly double the complexity in tests and quadrupling fault detection rates for Amazon Lex chatbots.
