RIVA: Leveraging LLM Agents for Reliable Configuration Drift Detection
arXiv 2603.02345•951dff64641fcf1367e6c71fc08bcb2b2b3b4e0e54c1c1d2030aa214ef01e585
C-to-Rust-migrationGUI-regression-detectionLLM-agentsautomated-migrationchange-aware-testingconfiguration-driftinfrastructure-as-codememory-safetymicroservice-fuzzingneural-network-verificationretrieval-augmented-generationsustainabilitytechnical-debt-managementtool-misbehavioruncertainty-driven-testing
Paper metadata
- arXiv ID
- 2603.02345
- 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
- 951dff64641fcf1367e6c71fc08bcb2b2b3b4e0e54c1c1d2030aa214ef01e585
- Enrichment time
- 2026-03-04T19:55:30Z
- AI-assisted enrichment
- Yes
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