Quantitative properties of stochastic systems are usually specified in logics that allow one to
compare the measure of executions satisfying certain temporal properties with thresholds …

This paper presents novel extensions and applications of the UPPAAL-SMC model checker.
The extensions allow for statistical model checking of stochastic hybrid systems. We show …

We propose a new simulation-based technique for verifying applications running within a
large heterogeneous system. Our technique starts by performing simulations of the system to …

Abstract Behavior–interaction–priority (BIP) is a component-based framework supporting
rigorous design of embedded systems. BIP supports incremental design of large systems …

Dynamic software architectures emerge when addressing important features of
contemporary systems, which often operate in dynamic environments subjected to change …

Until recently, there was not a strong need for networking inside aircrafts. Indeed, the
communications were mainly cabled and handled by Ethernet protocols. The evolution of …

This paper investigates the combined use of abstraction and probabilistic learning as a
means to enhance statistical model checking performance. We are given a property (or a list …

BIP is a component-based framework supporting rigorous design of embedded systems.
This paper presents SBIP, an extension of BIP that relies on a new stochastic semantics that …

We give a survey of formal verification techniques that can be used to corroborate existing
experimental results for gossiping protocols in a rigorous manner. We present properties of …

Complex computational systems are ubiquitous and their study increasingly important.
Given the ease with which it is possible to construct large systems with heterogeneous …