Requirements are sensitive to the context in which the system-to-be must operate. Where
such context is well understood and is static or evolves slowly, existing RE techniques can …

The analysis of complex distributed systems requires dedicated software tools. The mCRL
language and toolset have been developed to support such analysis. We highlight changes …

We present the probabilistic model checker Storm. Storm supports the analysis of discrete-
and continuous-time variants of both Markov chains and Markov decision processes. Storm …

Modern software systems are expected to operate under uncertain conditions, without
interruption. Possible causes of uncertainties include changes in the operational …

Handbook of Knowledge Representation describes the essential foundations of Knowledge
Representation, which lies at the core of Artificial Intelligence (AI). The book provides an up …

In this paper we describe PRISM, a tool being developed at the University of Birmingham for
the analysis of probabilistic systems. PRISM supports three probabilistic models: discrete …

Self-adaptive systems tend to be reactive and myopic, adapting in response to changes
without anticipating what the subsequent adaptation needs will be. Adapting reactively can …

Symbolic model checking methods have been extended recently to the verification of
probabilistic systems. However, the representation of the transition matrix may be expensive …

In this paper we present a method for automatic planning of optimal paths for a group of
robots that satisfy a common high-level mission specification. The motion of each robot is …

Exploring alternative options is at the heart of the requirements and design processes.
Different alternatives contribute to different degrees of achievement of non-functional goals …