Domain Specific Language

Coordinated by
IESE

The domain specific language enables specification of digital twin behaviour in a manner that can enable a predicted evaluation of its trustworthy behaviour in a simulated environment

Description

Describe the innovation content of the result:
Aiming at a runtime predictive evaluation of trust in an ecosystem component, the language enables specification of the DT behavior in accordance with this innovative methodology.
Who will be the customer?
The customers are researchers in the first stage. In the long term, practitioners from industry that want to employ the mechanism of predictive simulation for building trust in ecosystem components.
What benefit will it bring to the customers?
Guides the specification of specialized models that can become digital twins when fed with real-time data. When executed in a predictive manners, these digital twins enable an evidence-based computation of trust performed in a virtual environment. When performed at runtime, it is envisioned to enable the timely triggering of the safe fail-over behavior.
When is the expected date of achievement in the project (Mth/yr)?
Methodology concept in 08/2022, Domain Specific Language 08/2023
When is the time to market (Mth/yr)?
Further development of the language is required. In about 5 years, 08/2028
What are the costs to be incurred after the project and before exploitation?
The first version of DSL will be ready for use at the end of BIECO but further research based on it will need to be framed on other innovation projects.
Within the following years, when appropriate research funding will be directed towards evolving the language with more specialized rules
What is the approximate price range of this result/price of licences?
Open source
What are the market size in Millions € for this result and relevant trend?
N/A
How will this result rank against competing products in terms of price/performance?
The DSL addresses some of the major challenges identified among the competitor schemes for addressing uncertainties of self-adaptive systems part of evolving digital ecosystems
Who are the competitors for this result?
National and international public and proprietary evaluators that implement a runtime simulation-based approach for assuring the safety of self-adaptive systems.
How fast and in what ways will the competition respond to this result?
Creation of a similar solution will take at least three years.
Who are the partners involved in the result?
In the concept of the methodology no partnership has been foreseen. However, a particular instantiation of the methodology will be provided with the support of RES .
Who are the industrial partners interested in the result (partners, sponsors, etc.)?
RESILTECH, TTTech
Have you protected or will you protect this result? How? When?
Research publications are provided along the way of the concept development and its validation.

Other results

ResilBlockly

This exploitation result consists in cybersecurity consultancy services supported by ResilBlockly (former Blockly4SoS), a Model-Driven Engineering tool that has been developed in the context of BIECO.

Security evaluation methodology

Security evaluation methodology to evaluate the security of an ICT system. The methodology is based on standards such as ISO 31000 standard for Risk Management, the ISO 29119 standard for Security Testing or the MUD standard…

Monitoring Tool

The monitoring tool is an infrastructure in charge of setting up and managing a monitoring component. It is based on event messages and enables the collection of complex events.

Extended MUD file

The extended Manufacturer Usage Description (MUD) file is an extension of the MUD Internet Engineering Task Force (IETF) standard…

BIECO Project

SUBSCRIBE and become part of the BIECO community!

We don’t spam!

Share This