6G Software Engineering: A Systematic Mapping Study
Ruoyu Su, Xiaozhou Li, Davide Taibi

TL;DR
This systematic mapping study reviews current research on 6G software engineering, highlighting key areas, methods, and tools, and identifying gaps for future exploration in architecture, orchestration, and offloading systems.
Contribution
It provides a comprehensive overview of existing research in 6G software engineering, including new tools and frameworks, and identifies main focus areas and geographic research distribution.
Findings
18 research papers identified in software process, architecture, orchestration, and offloading
Software architecture and software-defined networks are the most studied topics
Five new tools/frameworks are proposed, unique in current research
Abstract
6G will revolutionize the software world allowing faster cellular communications and a massive number of connected devices. 6G will enable a shift towards a continuous edge-to-cloud architecture. Current cloud solutions, where all the data is transferred and computed in the cloud, are not sustainable in such a large network of devices. Current technologies, including development methods, software architectures, and orchestration and offloading systems, still need to be prepared to cope with such requirements. In this paper, we conduct a Systematic Mapping Study to investigate the current research status of 6G Software Engineering. Results show that 18 research papers have been proposed in software process, software architecture, orchestration and offloading methods. Of these, software architecture and software-defined networks are respectively areas and topics that have received the…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsIoT and Edge/Fog Computing · Digital Transformation in Industry · Modular Robots and Swarm Intelligence
