New 'spec-delta' approach formalizes data governance in lakehouses

This paper introduces and empirically studies the concept of a "spec-delta" as a unit of change for data governance in lakehouse platforms. It formalizes the spec-delta idea, which emphasizes incremental requirements as the primary artifact for AI-assisted work, and proposes a taxonomy for data platform changes suitable for this approach. The research includes a controlled experiment comparing a spec-delta-driven workflow against a traditional code pull-request workflow to evaluate metrics like discovery-to-deployment time and defect density. AI

IMPACT Formalizes a new approach to data governance that could improve the efficiency and defect density of AI-assisted development workflows.

RANK_REASON The cluster contains a single academic paper submission to arXiv. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.AI →

• Constitutional SDD
• executable data-contracts
• lakehouse data platforms
• Pablo Ramírez Amador Mg
• spec-delta
• Spec Driven Development
• Specification-delta-driven data governance

• paper
• infra

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