Artificial Intelligence-Empowered Software Engineering 2024

This comprehensive guide explores the cutting-edge intersection where artificial intelligence transforms how software gets built, tested, and maintained. It presents extended research from the AIESE2024 conference, offering deep dives into how machine learning and AI algorithms are automating complex development tasks, enhancing code quality, and predicting system failures before they occur. The content moves beyond theoretical discussion to provide concrete methodologies and empirical results that demonstrate AI's tangible impact on the software development lifecycle.

What sets this work apart is its forward-looking perspective, compiling research that addresses both current practical applications and the future trajectory of AI-driven development. Software engineers, technical leads, and computer science researchers will find it particularly valuable for its evidence-based approaches to integrating AI tools into real-world projects. The collection ultimately serves as a critical roadmap for anyone preparing to navigate the rapidly evolving landscape of intelligent software engineering.