Acceptance-Test-Driven Evaluation Protocols for Business-Centric LLM Systems

arXiv 2606.02755•5d96e0f16532f41276e0adba41a3a0970cf734f3a1ad9497fc63752d7c40f2ec
Android developmentGNSS-IMULLM governanceLLM-assisted codingacceptance testingchange predictiondata minimizationembodied AIevaluation protocolsexecution-centered programmingformal verificationhuman-AI collaborationmobile sensingmulti-agent systemsorchestrationprivacyprogram synthesissoftware accountabilitysoftware engineering transformationsoftware qualitysoftware repairtesting

Paper metadata

arXiv ID
2606.02755
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Not specified by this published record
Category
Computer Science — Software Engineering (cs.SE)

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Source ID
arxiv_cs_se
Record identifier
5d96e0f16532f41276e0adba41a3a0970cf734f3a1ad9497fc63752d7c40f2ec
Enrichment time
2026-06-03T08:51:46Z
AI-assisted enrichment
Yes

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