QAPL 2015 - Thirteenth International Workshop on Quantitative Aspects of Programming Languages and Systems

Quantitative aspects of computation are important and sometimes essential in characterising the behavior 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, security 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, real-time, quantum languages and the definition of semantical models for such languages;
the discussion of methodologies for the quantitative analysis of systems, for instance probabilistic and timing properties (e.g. security, safety, schedulability) and other quantifiable properties such as reliability (for hardware components), trustworthiness (in information security) and resource usage (e.g., worst-case memory/stack/cache requirements);
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, adaptive systems, systems biology, and to any other domain involving quantitative issues.
Topics
Topics include (but are not limited to) probabilistic, timing and general quantitative aspects in:
Language design Information systems Asynchronous HW analysis
Language extension Multi-tasking systems Automated reasoning
Language expressiveness Logic Verification
Quantum languages Semantics Testing
Time-critical systems Performance analysis Safety
Embedded systems Program analysis Risk and hazard analysis
Coordination models Protocol analysis Scheduling theory
Distributed systems Model-checking Security
Biological systems Concurrent systems Resource analysis