The Evolution of AI in Software Quality and Cloud Management: A Framework for Autonomous Systems

Abstract

This article examines the transformative impact of artificial intelligence on software quality assurance and cloud infrastructure management. By analyzing current implementations and emerging trends, it demonstrates how AI-driven approaches are redefining traditional practices through intelligent test generation, autonomous defect detection, and self-healing systems. The integration of AI with orchestration platforms represents a significant shift toward fully autonomous infrastructure management, promising enhanced reliability and efficiency. The convergence of quality engineering with operational domains through AI technologies enables organizations to implement closed-loop systems where detected issues trigger automated responses governed by organizational policies. The article provides a comprehensive framework for understanding the evolving landscape of AI-powered quality engineering and cloud operations, offering insights for organizations navigating this technological transition.