Our department is responsible for research and education in the advanced techniques for building reliable component-based software especially in the field of distributed and dependable systems, spanning from smart cyber-physical systems and IoT to cloud-based backends. Our research comprises advanced software architectures, adaptation, model-driven development, model-based testing, formal verification of software, performance measurement and modeling.
The vision pursued by our department is that of high-quality scientific research with strong industrial relevance, with the aim to enable rapid and cost-efficient production of complex and reliable software systems. To achieve this vision, our department actively collaborates on the national and international level with both academic and industrial partners.
Farkas-Based Tree Interpolation
has been accepted to Static Analysis.
Managing latency in edge–cloud environment
has been accepted to Journal of Systems and Software.
SharpDetect: Dynamic Analysis Framework for C#/.NET Programs
has been accepted to Proceedings of the 20th International Conference on Runtime Verification (RV 2020).