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Paper · arXiv

TestGRAD: Evolving Test Suites via Failure Pattern Momentum for SWE-Agent Ensemble

SWE-agent ensembles improve issue resolution by combining candidate patches from different agents with complementary strengths. The central problem is therefore test-based selection: generate tests, execute candidate patches, and identify the best patch. We formulate this process as test-space optimization: evolving an executable repository test suite until it distinguishes competing patches. Existing test-generation methods are limited optimizers. They usually lack an explicit loss for ensemble selection, optimize through incomplete directions that mostly create new tests or delete old ones, and perform one-off generation without feedback from repeated failures. Inspired by gradient desc...

AuthorsPengfei He, Jiayuan Zhou, Shaowei Wang et al.
Primary categorycs.SE
Published7 October 2026
Last updated at source7 October 2026
cs.SEcs.AI
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