Optimizing Quality Assurance Resource Allocation in Multi Team Software Development Environments

Abstract

In today's rapidly evolving software development landscape, quality assurance teams face unprecedented challenges in supporting multiple development teams while operating under resource constraints. This research presents a comprehensive framework for optimizing QA resource allocation and project prioritization, incorporating shift left methodologies and early developer testing. Through a detailed case study involving 500 developers across 50 teams, we demonstrate how this framework reduced defect leakage by 45% and improved release quality by 60% while maintaining efficient resource utilization. The proposed methodology provides a structured approach to balance quality objectives with limited QA resources, resulting in improved software quality and reduced time to market.