A Modeling Framework for Schedulability Analysis of Distributed Avionics Systems

This paper presents a modeling framework for schedulability analysis of distributed integrated modular avionics (DIMA) systems that consist of spatially distributed ARINC-653 modules connected by a unified AFDX network. We model a DIMA system as a set of stopwatch automata (SWA) in UPPAAL to analyze its schedulability by classical model checking (MC) and statistical model checking (SMC). The framework has been designed to enable three types of analysis: global SMC, global MC, and compositional MC. This allows an effective methodology including (1) quick schedulability falsification using global SMC analysis, (2) direct schedulability proofs using global MC analysis in simple cases, and (3) strict schedulability proofs using compositional MC analysis for larger state space. The framework is applied to the analysis of a concrete DIMA system.Comment: In Proceedings MARS/VPT 2018, arXiv:1803.0866

Statistical model checking in approximate computing systems

This thesis is focused in testing approximate computing systems, checking, among other things, its hit rate and if they are useful. For these tests, UP- PAAL SMC, a statistical model checking tool, will be used.Este trabajo se centra en la prueba de sistemas computacionales aproximados, comprobando, entre otras cosas, su tasa de acierto y si son útiles. Para estas pruebas se utilizará UPPAAL SMC, una herramienta de comprobación de modelos estadísticos.Grado en Estadístic