Future of Artificial Intelligence in Agile Software Development

TL;DR

This paper explores how AI, including LLMs and AI agents, can enhance agile software development by automating routine tasks, improving decision-making, and increasing project success rates.

Contribution

It proposes a framework for integrating AI tools into agile processes to optimize efficiency and reduce risks in software projects.

Findings

AI can automate routine development tasks.

AI tools improve risk analysis and decision support.

Integration of AI increases project success rates.

Abstract

The advent of Artificial intelligence has promising advantages that can be utilized to transform the landscape of software project development. The Software process framework consists of activities that constantly require routine human interaction, leading to the possibility of errors and uncertainties. AI can assist software development managers, software testers, and other team members by leveraging LLMs, GenAI models, and AI agents to perform routine tasks, risk analysis and prediction, strategy recommendations, and support decision making. AI has the potential to increase efficiency and reduce the risks encountered by the project management team while increasing the project success rates. Additionally, it can also break down complex notions and development processes for stakeholders to make informed decisions. In this paper, we propose an approach in which AI tools and technologies can be utilized to bestow maximum assistance for agile software projects, which have become increasingly favored in the industry in recent years.