EMRGF: A Practitioner Framework for Governance-Driven Enterprise Technology Modernization

arXiv 2605.06703•689c34a9f284d857208dc5c1448c639c0e8c277a7f642d66722b07f459ce2c56
AI-governanceCI/CDDBMS-adoptionEMRGFJavaLLM-agentsNISTScarfBenchSmellBenchagent-reliabilitybenchmarkscoding-agentsdeveloper-burnoutenterprise-governanceevaluationproactivityreproducibilityself-healingsoftware-migration

Paper metadata

arXiv ID
2605.06703
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
689c34a9f284d857208dc5c1448c639c0e8c277a7f642d66722b07f459ce2c56
Enrichment time
2026-05-11T08:51:47Z
AI-assisted enrichment
Yes

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