An increasingly used method for the engineering of software systems with strict quality-of-
service (QoS) requirements involves the synthesis and verification of probabilistic models for …

Context: Systems exhibiting anticipatory behavior are controlling devices that are influencing
decisions critical to business with increasing frequency, but testing such systems has …

Cyber–physical systems increasingly feature highly-distributed and mobile deployments of
devices spread over large physical environments: in these contexts, it is generally very …

Recent probabilistic model checking techniques can verify reliability and performance
properties of software systems affected by parametric uncertainty. This involves modelling …

To accurately make adaptation decisions, a self-adaptive system needs precise means to
analyze itself at runtime. To this end, runtime verification can be used in the feedback loop to …

The development of cyber-physical systems is heavily relying on model-driven approaches.
After deployment, these models can be utilised in a Digital Twin setting, acting as virtual …

Quantitative monitoring can be universal and approximate: For every finite sequence of
observations, the specification provides a value and the monitor outputs a best-effort …

Featured Application The Timed-SAS approach can be used to design and quantitatively
analyze the complex self-adaptive software systems, such as cloud computing systems …

Self-adaptive systems can change their behavior due to internal or external issues detected
during operation. Such systems should be able to change their internal structure or …

Traditional runtime quantitative verification approaches for self-adaptive systems usually rely
on the use of state-transition models to describe the system behaviour and check property …