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.
A paper was accepted at the 31st European Conference on Pattern Languages of Programs, People, and Practices.
Another paper has been accepted in the Journal of Systems and Software.
A paper was accepted at the 23rd IEEE International Conference on Software Architecture.
