The Impact of Artificial Intelligence on Project Management and Software Testing

The Impact of Artificial Intelligence on Project Management and Software Testing

Sourabh Kularni
Sourabh.3050@gmail.com

Abstract

Artificial Intelligence (AI) is rapidly transforming the disciplines of project management and software testing, evolving them from manual, reactive processes into intelligent, predictive ecosystems. By harnessing machine learning, natural language processing (NLP), and automation, AI enhances decision-making, risk forecasting, and resource optimization. This paper explores how AI improves defect detection, automates test generation, and strengthens project execution. It also addresses integration challenges, ethical considerations, and future trends toward autonomous systems that continuously learn and adapt. As organizations pursue agility and precision, AI emerges not merely as a tool—but as a strategic enabler of intelligent delivery [1][2].

Keywords

Artificial Intelligence (AI), Project Management, Software Testing, Predictive Analytics, Machine Learning, Natural Language Processing (NLP), Automation, Decision Support Systems, Risk Management, Resource Optimization, Digital Transformation, Autonomous Systems.