System Validation is the field that studies the fundamentals of system communication and information processing. It allows automated analysis based on behavioural models of a system to see if a system works correctly. We want to guarantee that the systems does exactly what it is supposed to do. The techniques put forward in system validation allow to prove the absence of errors. It allows to design embedded system behaviour that is structurally sound and as a side effect enforces you to make the behaviour simple and insightful. This means that the systems are not only behaving correctly, but are also much easier to maintain and adapt. ’Modeling Software Protocols, and other behaviour' demonstrates the power of formal methods in software modelling, communication protocols, and other examples. Reading material. J.F. Groote and M.R. Mousavi. Modeling and analysis of communicating systems. The MIT Press, 2014.
System Validation (4): Modelling Software, Protocols, and other behaviour
ofrecido por
EIT Digital
Programa - Qué aprenderás en este curso
Semana
1Advanced modelling
We show how the behavior of simple programs and communication protocols can be modelled and analysed. Furthermore, we introduce the notion of a linear process: a simple normal form to which every behavior can be reduced. This normal form is the workhorse when it comes to the analysis of behavior.
8 videos (Total 95 minutos), 1 reading, 1 quiz
8 videos
Modelling a parallel algorithm to calculate the GCD13m
Linear process equations and linearisation14m
Manipulating linear processes10m
Parameterised boolean equation systems6m
The alternating bit protocol revisited14m
The sliding window protocol, or Tanenbaum’s bug20m
Philips remote control standard 6, or the bounded retransmission protocol13m
1 lectura
Book exercises45m
1 ejercicio de práctica
Advanced modelling14m
Semana
2Modelling guidelines
In this lecture you see various modelling techniques that can be used to keep the state space of your models small.
5 videos (Total 50 minutos), 1 quiz
5 videos
Push versus poll4m
Restrict the use of data10m
Avoid parallelism among components5m
Compositional design; specify external behaviour17m
1 ejercicio de práctica
Modelling guidelines10m
Instructor
Jan Friso Groote
Full professorMathematics and Computer Science, Eindhoven University of Technology
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