Author: Arjun Sharma, Neha Verma.
Abstract: The rapid evolution of software development has been significantly influenced by the integration of Artificial Intelligence (AI) and Machine Learning (ML) technologies. These advancements enable automation, predictive analytics, code optimization, and enhanced decision-making in the software development lifecycle. This paper investigates the applications of AI and ML in modern software development, emphasizing automated code generation, bug detection, performance optimization, and intelligent project management. By reviewing existing frameworks, algorithms, and tools, this research highlights the potential of AI-driven approaches to revolutionize software engineering practices. The study also discusses challenges, including model interpretability, data dependency, and ethical considerations, providing insights into future research directions for sustainable and efficient software development.
Keywords: Artificial Intelligence, Machine Learning, Software Development, Automated Code Generation, Predictive Analytics, Intelligent Systems.
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