Our research develops and empirically validates the foundations, methods, and tools for modern software architecture, including distributed systems, microservices and APIs, CI/CD and MLOps, design-level security, AI for software engineering, and software engineering for AI.
We seek to contribute to core challenges of software engineering. Software is, unlike any other man-made product, constrained more by intellectual complexity than by fundamental laws of physics. It can be argued that software is among the most complex things ever produced at a large scale by humans. Finding and validating well-fitting software abstractions is key to managing this complexity. Software is a product that must continuously change at a pace unknown to other man-made products, and constant change is a major complexity driver.
Our strong international collaborations not only foster our research but also underpin research-oriented teaching.
Our new research project DeVulnIX, funded by FWF and in collaboration with TUHH, has started!
Zhizhou Fang is presenting the paper Architectural Design Decisions for Monitoring Deployed Reinforcement Learning Systems (co-authored with Stephen…
Lingli Cao joins SWA
