Impact of Artificial Intelligence on Software Development Processes

Abstract

The emergence of Artificial Intelligence (AI) has signified a fundamental transformation in software engineering methodologies. Conventional techniques, marked by significant manual involvement, are progressively being enhanced or supplanted by intelligent systems. Artificial intelligence technologies and frameworks streamline development, decrease expenses, and improve precision. Artificial Intelligence (AI) is revolutionizing software development by automating redundant jobs, improving decision-making, and optimizing procedures throughout all phases of development. This study examines the influence of AI on software development using qualitative and quantitative assessments, concentrating on phases such as requirement collecting, coding, testing, and deployment. This analysis employs topic and keyword methodologies to explore AI's contribution to enhancing efficiency, accuracy, and team cooperation, while also addressing integration problems and ethical implications. The study emphasizes the role of AI technologies in minimizing errors, enhancing project timeframes, and elevating overall software quality. These conclusions establish a basis for forthcoming research on AI's capacity to transform software engineering methodologies.