Automation-Led Quality Engineering Across ERP Finance and Logistics Platforms: A Release Confidence Framework

Abstract

Quality engineering across enterprise ERP platforms serving finance and logistics functions requires validation strategies capable of addressing business-process correctness, service integration integrity, data consistency, and operational readiness simultaneously, a multi-dimensional requirement that single-layer automation approaches cannot satisfy at the coverage depth enterprise release governance demands. A four-layer automation architecture is presented alongside a composite Release Confidence Index designed to aggregate layer-level quality signals into a single, decision-grade release readiness measure. The RCI weights critical-flow pass rate, integration success rate, data reconciliation accuracy, defect-risk score, automation reliability, and operational readiness according to their relative contribution to release outcome risk in ERP finance and logistics contexts. Evaluation demonstrates reductions in regression defect escape rates, improvements in automation coverage sustainability, and decreases in release validation cycle time. The framework provides quality engineering programmes with both a structural model for organising automation investment across platform layers and a quantifiable, threshold-governed release readiness signal.