http://deepse.dei.polimi.it/quovadis/
Organizers:
Carlo Ghezzi, Politecnico di Milano, Italy
Lars Grunske, Swinburne University of Technology, Australia
Raffaela Mirandola, Politecnico die Milano, Italy
Nowadays requirements related to quality attributes such as performance, reliability, safety and security are often considered the most important requirements for software development projects. To reason about these quality attributes different stochastic models can be used. These models enable probabilistic verification as well as quantitative prediction at design time. On the other hand, these models could be also used to perform runtime adaptation in order to achieve certain quality goals. This workshop aims to provide a forum for researchers in these areas that should help with the adoption of quantitative stochastic models into general software development processes.