PI: Emma Söderberg, Lund University
co-PI: Dániel Varró, Linköping University
This project aims to systematically detect and reduce software development waste (SDW) in the context of large-scale AI-assisted development and operations (DevOps) for complex software systems. As a key novelty, we take a broad, sustainability-driven perspective on SDW to identify development practices that consume excessive amounts of energy, developer time, or computational costs. Novel techniques will be developed for SDW detection (by runtime monitoring) and reduction (by design space exploration) in the context of cloud-edge systems and critical cyber-physical systems.
Project number: G10