- Submission Deadline: 20 February 2023
- Issue Publication: November/December 2023
The demands placed on software engineers have increased dramatically in recent years. This is because the systems they develop increased in complexity, size, and criticality as well. Novel system types like adaptive systems or cyber physical systems and new technologies, like Artificial Intelligence and Virtual Reality change the technology landscape.
Professionals creating such systems hence need to stay on the cutting edge to face the challenges of the future. It is clear that we need to enable future generations and current software engineers not only to meet contemporary demands, but also prepare them for challenges that are unforeseen today. This is the mission of Software Engineering Education and Training (SEE&T) research. For more 30 years, SEE&T efforts at the undergraduate, graduate, postgraduate, and professional level have explored challenges, shared experiences, and generated new impulses for educators. While in early work, emphasis was placed on the role of software engineers and the question of how SEE&T fits into a larger engineering or computer science curriculum, lately special emphasis is on knowledge transfer and pedagogical paradigms between educators, experiential instruction, and sensitizing the learner for industrial challenges.
We invite contributions relating but not limited to:
- Communication with Clients, Peers, Etc.
- Project-, Problem-, and Experience-based Learning
- Cooperation Between Industry and Academia
- Degree Specializations
- E-Learning, Online Training, and Education
- Measuring Education and Training Results
- Software Engineering Education Methodology
- Teaching Conceptual Modeling and Requirements
- Open Source in Education
- Innovative CS and SE Education: Perspectives, Progress, and Industry Perspectives
- Vision For SEE&T in the Future
- Novel Delivery Methods
- Interdisciplinary Education and Training Programs
- Cooperative Education and Networks of Training among Universities and Industry
- Teaching artificial intelligence and formal methods
- Teaching “real world” SE practices
For author information and guidelines on submission criteria, please visit the Software’s Author Information page. Please submit papers through the ScholarOne system, and be sure to select the special issue name. Manuscripts should not be published or currently submitted for publication elsewhere. Please submit only full papers intended for review, not abstracts, to the ScholarOne portal.
Please contact the guest editors at email@example.com.
- Muneera Bano – Data61, CSIRO, Australia
- Robert Hanna – NASA Jet Propulsion Laboratory, USA
- Stephan Krusche – Technical University of Munich, Germany
- Bastian Tenbergen – SUNY Oswego, USA