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Over a third of Java libraries harbor hidden dependencies that can introduce breaking changes and security vulnerabilities, yet remain unnoticed by developers.
Semref leverages LLMs to automatically refine architecture recovery results, achieving up to 118.57% improvement in accuracy over traditional methods.
Natural backdoor vulnerabilities are not just a theoretical concern; they are prevalent in CodeLMs and can significantly compromise code security.
MAAD not only automates architecture design but also enhances the quality of outputs through a collaborative agent framework and advanced LLM integration.
