Journal of Software Engineering for Autonomous Systems

Aims & Scope

The Journal of Software Engineering for Autonomous Systems is dedicated to distributing research and industrial results in the field of autonomous systems and software engineering, as well as overview papers in this area. With the advent of innovative software, artificial intelligence, cloud-supported analytics and engineering processes, and electronics, companies working on autonomous systems are applying state-of-the-art technologies to improve safety, user experience, effectiveness, efficiency and the use of vast amounts of data to understand and improve autonomous systems. The increased use of software and data has caused a paradigm shift by requiring these companies to develop their systems while using architecture and model-based techniques.

The scientific community tackles the development of autonomous systems by exploring the use of AI techniques, combined with data-driven engineering, to make the systems more intelligent, robust and user-friendly. Digital twins play an important role in the development of autonomous systems as they allow for explorations of new functionality, for simulations based on both historical and real-time data, and the exploration of ‘what-if’ scenarios. The development of autonomous systems is a collective effort involving multiple disciplines such as electrical and mechanical engineering, industrial engineering, physics and computer science. Research on the social aspects of collaborative design is also getting more attention. These are just a few topics that this journal aims to cover.

The subjects of interest to the Journal of Software Engineering for Autonomous Systems cover the important aspects of the field such as autonomous systems and software architectures, software process, maintenance and quality, safety and security, autonomous and cooperative design and behavior, intelligent data processing, digital twins and data-driven engineering supported by cloud-environments. In addition to this, submissions on the development of, and challenges provided by, forthcoming and future autonomous systems, such as autonomous systems based on AI technology, are also welcomed. The journal aims to be relevant for academia as well as industry.