Proceedings 11th International Workshop on Quantitative Aspects of Programming Languages and Systems

TL;DR

This workshop focuses on the importance of quantitative measures like time, probability, and resource usage in modeling, analyzing, and verifying system properties, highlighting their role in system design and assessment.

Contribution

It provides a platform for discussing how quantitative information is integrated into system models and analysis tools, advancing understanding in this area.

Findings

Emphasizes the role of quantitative measures in system modeling.

Highlights methodologies for analyzing system properties using quantitative data.

Discusses tools that incorporate quantitative information for verification.

Abstract

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.