Generative AI for Effective Software Development

This book explores the transformative role of generative artificial intelligence (Generative AI) in software engineering. It provides a comprehensive overview of how generative AI tools such as ChatGPT, GitHub Copilot, and Amazon CodeWhisperer are reshaping software development practices, from code generation and refactoring to requirements engineering and project management.

The editors, Anh Nguyen-Duc, Pekka Abrahamsson, and Foutse Khomh, bring together contributions that examine both the technical and managerial aspects of integrating generative AI into software development workflows. The book discusses the potential of generative AI to reduce development costs by 20–45% and to automate routine tasks, allowing developers to focus on high-level architecture and creative problem-solving.

Key topics include the fundamental shift in problem-solving paradigms, the changing role of software developers as AI collaborators, and the interdisciplinary approaches needed to maximize generative AI's potential. The book also addresses the challenges and ethical considerations associated with AI-driven software development.

Aimed at researchers, practitioners, and students in software engineering and AI, this book offers insights into the current state and future directions of generative AI in software development, making it a valuable resource for those looking to understand and leverage this rapidly evolving technology.