Quantitative aspects of computation are important and sometimes
essential in characterising the behaviour and determining the
properties of systems. They are related to the use of physical
quantities (storage space, time, bandwidth, etc.)
as well as mathematical quantities (e.g. probability and measures
for reliability, risk and trust). Such quantities play a central
role in defining both the model of systems (architecture,
language design, semantics) and the methodologies and tools for
the analysis and verification of system properties.
The aim of this workshop is to discuss the explicit use of
quantitative information such as time and probabilities either
directly in the model or as a tool for the analysis of systems.
In particular, the workshop focuses on
the design of probabilistic and real-time languages and
the definition of semantical models for such languages;
the discussion of methodologies for the analysis of probabilistic
and timing properties (e.g. security, safety, schedulability)
and of other quantifiable properties such as reliability
(for hardware components), trustworthiness (in information security)
and resource usage (e.g., worst-case memory/stack/cache
the probabilistic analysis of systems which do not explicitly
incorporate quantitative aspects (e.g. performance, reliability
and risk analysis);
applications to safety-critical systems, communication protocols,
control systems, asynchronous hardware, and to any other domain
involving quantitative issues.
The proceedings of the workshop will be published by Elsevier in
ENTCS (Electronic Notes in Theoretical Computer Science).