ACE: Self-Evolving LLM Coding Framework via Adversarial Unit Test Generation and Preference Optimization
arXiv 2605.16299•8985b807213f97f7b7fac53d93915e320d19e6d26ba24386e40111cbd70ff973
AR-testingDevOps-securityGenAI-policyLLMMove-languageSBSEadversarial-examplesadversarial-testingautomated-testingcode-generationdiffusion-modelsempirical-studygovernancehuman-in-the-looplow-codemerge-conflict-resolutionopen-source-contributionsreinforcement-learningself-improving-systemssmart-contractssoftware-repositoriesstatic-analysissupply-chainunit-tests
Paper metadata
- arXiv ID
- 2605.16299
- Version
- Not specified by this published record
- Category
- Computer Science — Software Engineering (cs.SE)
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Evidence and limitations
- Source ID
- arxiv_cs_se
- Record identifier
- 8985b807213f97f7b7fac53d93915e320d19e6d26ba24386e40111cbd70ff973
- Enrichment time
- 2026-05-19T08:51:44Z
- AI-assisted enrichment
- Yes
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