Conference on Software Engineering Education and Training

概要

About CSEE&T In a world increasingly driven by software, the role of a software engineer has never been more important. From the smartphones in our hands to the most intricate space exploration missions, software systems are at the very heart of everything. Yet, as these systems continue to evolve in size, complexity, and importance, the education and training methods to prepare the next generation of software engineers must be equally adaptive and forward-looking. Over the past three decades, Software Engineering Education and Training (SEE&T) has continually risen to these evolving challenges. Initially, the focus was on defining the role of software engineers and how SEE&T integrates into broader engineering and computer science curricula. The current landscape, however, is shifting the focus towards enhanced knowledge transfer, emphasizing experiential learning, and aligning academic teaching with real-world industrial demands. The importance of effective communication, whether with clients or peers, the rising trend of project-based and problem-driven learning methodologies, and the symbiotic relationship between academia and industry form the very essence of modern SEE&T. This is the mission of the Conference on Software Engineering Education and Training (CSEE&T). As the world’s foremost conference on the topic, it has created a highly interactive community of academics and industry professionals. The aim of the conference is to solicit, review, and publish original high-quality research, tutorial, and survey articles in the area of Software Engineering Education at the K-12, undergraduate, graduate, and postgraduate levels, as well as Software Engineering Training in industrial or post-academic settings. In its 38th year, the conference has established itself as the genesis for modern Software Engineering Education. We welcome you to the 38th CSEE&T in Florence, Italy, from July 20-22, 2026. Topics of Interest Requirements engineering education Teaching artificial intelligence Teaching conceptual modeling Teaching formal methods Teaching skills (communication, teamwork, management, etc.) Teaching “real world” SE practices Software education for quality assurance, cybersecurity, etc. Measuring education and training results Motivating students and trainees Social and cultural issues Novel delivery methods E-Learning, online training, and education Global and distributed SE education Open source in education Cloud computing education Cooperation between industry and academia Training models in industry CI/CD and DevOps education Cyber-physical system or Internet of Things education Methodological aspects of SE education Metaverse in SE education SE education for pre-college & university SE education for novices SE education with Artificial Intelligence Vision for SE education in the future

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