The Software Engineering and Artificial Intelligence Systems journal focuses on the intersection of software engineering principles and artificial intelligence (AI) methodologies. It aims to provide a platform for researchers, developers, and practitioners to present cutting-edge advancements, techniques, and methodologies in both software engineering and AI systems. The journal covers a wide range of topics, including but not limited to:
Software design, development, and maintenance techniques.
AI and machine learning algorithms in software engineering.
Integration of AI systems into software engineering processes.
Automated software testing and debugging using AI technologies.
AI-driven software architecture and design patterns.
Intelligent systems development for real-world applications.
Software tools, frameworks, and platforms that enhance AI applications.
Emerging trends in AI, such as deep learning, reinforcement learning, and natural language processing, applied to software engineering challenges.
The journal encourages interdisciplinary contributions that bridge the gap between software engineering and AI, fostering innovation and enhancing the development of intelligent software systems. It seeks to publish high-quality research, case studies, surveys, and experimental findings that demonstrate the practical application of AI to solve software engineering challenges and improve software quality, efficiency, and performance.
| Journal Information |
| Journal Name: Software Engineering and Artificial Intelligence Systems |
| Short Name: SEAIS |
| ISSN (Print): 3136-2885 |
| ISSN (Online): 3136-2893 |
| DOI Prefix: 10.66238 |
| Frequency: Tri-Annually |
| Name of Publisher: Lyndon & Francis Publishing Group |
