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Achieving an 86.17% success rate in reproduction test generation, DPIAgent reveals that structured task separation can dramatically enhance performance in automated software engineering.
Structured evidence from upstream sources boosts LLM repair accuracy by up to 23 percentage points, revolutionizing how we adapt to breaking changes in software dependencies.
Forget hand-crafted benchmarks: this paper shows how LLMs can continuously generate relevant evaluation datasets for enterprise AI agents from just a few semi-structured documents.
