Data-Driven Application Engineering: A Fusion of Analytics & Development

This study examines data-driven application engineering, which combines advanced analytics with software development.This study integrates data science, machine learning, and software engineering to create smarter, more adaptive, and more efficient systems.This paper examines data-driven application engineering pros, cons, and best practices.It accomplishes so by extensive literature study, case studies, and experimental analysis.The data show that this strategy improves decision-making, user experiences, and business value.The study also examines how data-driven application engineering may affect software development and proposes a framework for implementing it in various industries.