Towards a correct and efficient implementation of simulation and verification tools for probabilistic ntcc

10/05/2018
by   Mauricio Toro, et al.
0

We extended our simulation tool Ntccrt for probabilistic ntcc (pntcc) models. In addition, we developed a verification tool for pntcc models. Using this tool we can prove properties such as the system will go to a successful state with probability p under t discrete time- units. Currently, we are facing a few problems. We can only verify pntcc models using a finite domain constraint system and the encoding of cells ( mathematical entities that can update their value ) is experimental. In addition, in order to reduce the states generated during the verification process we need to implement a procedure to calculate whether two processes are equivalent. In the future, we want to provide multiple interfaces for the tools (e.g., a web ap- plication, a graphical interface and command line interface). We also want to support constraint systems over trees, graph and sets. We want to show the relevance of our tool to model biological and multimedia interaction systems in our tool, verify some properties about them, and simulate such systems in our real-time capable interpreter.

READ FULL TEXT
research
08/16/2020

Automatic Translation of tock-CSP into Timed Automata

The process algebra tock-CSP provides textual notations for modelling di...
research
04/27/2021

Temporal Reasoning Through Automatic Translation of tock-CSP into Timed Automata

In this work, we consider translating tock-CSP into Timed Automata for U...
research
10/31/2022

HHLPy: Practical Verification of Hybrid Systems using Hoare Logic

We present a tool for verification of hybrid systems expressed in the se...
research
04/28/2022

DMINR: A Tool to Support Journalists Information Verification and Exploration

Journalists are key information workers who have specific requirements f...
research
02/18/2022

SMC4PEP: Stochastic Model Checking of Product Engineering Processes

Product Engineering Processes (PEPs) are used for describing complex pro...
research
04/25/2023

Modeling Adaptive Self-healing Systems

Motivation: Smart grids design requires energy distribution operations t...
research
12/06/2018

Verification of deep probabilistic models

Probabilistic models are a critical part of the modern deep learning too...

Please sign up or login with your details

Forgot password? Click here to reset