Automated Self-Testing as a Quality Gate: Evidence-Driven Release Management for LLM Applications
arXiv 2603.15676•457528060cf115d6c6bdf1af259272309f24684f29192e0ddf529a0eccf2fc5d
LLM applicationsLoosely-Structured SoftwareSATDSEMAGVIBEPASSVibeContractautomated testingbackbone algorithmscode generationcontract-driven QAdatasets mapengineering design datasetsevidence coverageevidence-based gatesfault-triggering test generationlatency monitoringmulti-agent systemsrelease governanceruntime evolutionsafety testingscientific software technical debt','code review','human-AI codeself-evolutionary agentssoftware quality assurancevariability modelsvibe coding
Paper metadata
- arXiv ID
- 2603.15676
- 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
- 457528060cf115d6c6bdf1af259272309f24684f29192e0ddf529a0eccf2fc5d
- Enrichment time
- 2026-03-18T08:51:52Z
- AI-assisted enrichment
- Yes
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