🤖 AI Summary
This study addresses the challenges of frequent requirement changes, quality assurance, and delivery efficiency in agile software development by systematically investigating the application of artificial intelligence—particularly machine learning and natural language processing—in critical phases such as requirements management, code generation, and testing. Through a comprehensive literature review and empirical research involving industry practitioners, the work demonstrates that AI not only enhances existing agile practices but also fundamentally reshapes software development paradigms by introducing automation and intelligent decision-making capabilities. This transformation significantly improves development efficiency, product quality, and team responsiveness, thereby enabling a synergistic advancement in quality, speed, and innovation.
📝 Abstract
The rapid evolution and inherent complexity of modern software requirements demand highly flexible and responsive development methodologies. While Agile frameworks have become the industry standard for prioritizing iteration, collaboration, and adaptability, software development teams continue to face persistent challenges in managing constantly evolving requirements and maintaining product quality under tight deadlines. This article explores the intersection of Artificial Intelligence (AI) and Software Engineering (SE), to analyze how AI serves as a powerful catalyst for enhancing agility and fostering innovation. The research combines a comprehensive review of existing literature with an empirical study, utilizing a survey directed at Software Engineering professionals to assess the perception, adoption, and impact of AI-driven tools. Key findings reveal that the integration of AI (specifically through Machine Learning (ML) and Natural Language Processing (NLP) )facilitates the automation of tedious tasks, from requirement management to code generation and testing . This paper demonstrates that AI not only optimizes current Agile practices but also introduces new capabilities essential for sustaining quality, speed, and innovation in the future landscape of software development.