Emerging Trends in AI-Driven Software Engineering and Educational Pathways
Prof. Mohammed Akour
Prof. Mamdouh Alenezi
Kok Xiao-Feng Kenan
Special Issue Information
Artificial Intelligence (AI) has demonstrated immense potential for solving complex challenges across various research domains. In recent years, the rapid advancements in these fields have introduced both opportunities and challenges, particularly in Software Engineering (SE). SE, being deeply influenced by AI, has expanded its scope across all stages—from design and development to maintenance and continuous improvement. This expansion has spurred a growing interest in exploring how AI can enhance automation, efficiency, and optimization in software engineering processes.
Conversely, the rising complexity of AI systems has led to the adoption of SE principles and methodologies to address AI's own challenges, creating a synergistic relationship between the two fields. A notable trend emerging from this intersection is the development of intelligent software engineering, which leverages AI to drive innovation in areas like software fault detection, code generation, and system modeling.
An equally important aspect of this evolving landscape is the increasing relevance of micro-credential degrees. These focused, flexible learning pathways allow professionals to quickly upskill and reskill in AI, and SE, addressing the growing demand for specialized, up-to-date knowledge. This special issue will also explore how AI can be used to develop adaptive micro-credential programs, while SE methodologies can enhance their scalability and effectiveness.
This special issue seeks to address a wide range of challenges at the intersection of AI, SE and education. We invite researchers, students, and industry professionals to submit contributions that advance our understanding of these fields, with a particular focus on the application of AI to SE problems, as well as the role of SE in micro-credential education and training initiatives.