ICAISE

About the Event

The International Conference on Artificial Intelligence and Software Engineering (ICAISE) represents the fifth iteration of the International Conference on Artificial Intelligence and Software Engineering, bringing together researchers, scientists, and scholars from around the world. The conference creates an open learning environment where participants can share research findings and learn from their international peers in the rapidly evolving intersection of AI and software engineering.

The conference program encompasses a comprehensive range of topics that reflect the current landscape of AI applications in software development. Research presentations will cover AI-driven development processes, machine learning applications for testing and bug detection, and AI-powered code generation and optimization techniques. The technical program maintains high standards by accepting only original, high-quality research contributions.

Participants can engage with cutting-edge research in explainable AI for software engineering, exploring transparency in AI-based development tools and human-AI collaboration models. The conference also addresses critical areas like AI in software project management, predictive analytics for project success, and automated quality assurance processes. These sessions provide valuable insights into how artificial intelligence transforms traditional software engineering practices.

The event welcomes various types of contributions including full paper submissions, poster presentations, and delegate registrations. Accepted papers undergo a rigorous review process and are collected in the International Conference Proceedings after successful presentation and registration. This publication pathway ensures that quality research reaches the broader academic and professional community.

ICAISE builds on the success of previous conferences, with past proceedings achieving indexing in EI Compendex and Scopus. The conference has established itself as a significant venue for advancing knowledge in AI applications to software engineering, creating opportunities for networking, collaboration, and knowledge exchange among participants from diverse backgrounds and expertise areas.