U-Test

The U-Test project was aimed at improving the dependability of CPSs by defining extensible frameworks for model-based and search-based testing of CPS under uncertainty. The work performed in U-Test is relevant for ADEPTNESS in the context of testing at the design time. However, ADEPTNESS proposes advances over U-Test in the following perspectives: (1) ADEPTNESS will develop novel methods covering design-operation continuum and in the context of CPSoS, (2) discovering unforeseen situations during the operation, (3) facilitating unforeseen situation detection by defining novel methods based on machine learning to discover unforeseen situations during design time. More information

Road2CPS

The objective of the Road2CPS project was to bring the relevant stakeholders together and to facilitate mutually beneficial collaborations between them. Some of the deliverables of the Road2CPS project (including a report on the market, recommendation and guide to CPS engineering, etc.) will be considered during WP1 to set-up the initial requirements of the toolchain to be developed during the ADEPTNESS project. More information

Into-CPS

The objective of this project was to create an integrated toolchain for a comprehensive model-based design of CPSs. The main focus of INTO-CPS is a tool-chain for analysis of CPSs, including static checking of FMI interfaces, model checking, and simulation and co-simulation. Their focus is mainly on design, whereas the ADEPTNESS project considers the full lifecycle of CPSoS, primarily focusing on the design-operation continuum. However, the tools developed during INTO-CPS will be considered in the phases where these can be employed. More information

CPSoS

This project was a support action that provided a forum and an exchange platform for systems-of-systems related communities and projects, focusing on the challenges of CPSoS and the operation of technical systems in which computing and communication systems interact with large complex physical systems. The ADEPTNESS project has carefully considered the deliverables of this project to extract the challenges of CPSoS together with the feedback by the industrial use-case providers. Further, the ADEPTNESS project will carefully consider this project’s deliverable to identify industrial and societal needs and the state of the art of tools and theories for CPSoS when specifying requirements in WP1. More information

TESTOMAT

The objective of the TESTOMAT project is to improve agility in the testing of software development teams without sacrificing quality through automation. The project will ultimately result in a test automation improvement model, which will define the improvement areas in test automation with the focus on measurable improvement steps. When compared with this project, TESTOMAT focuses solely on the automation of tests for any kind of software-related system at the design-time, whereas the ADEPTNESS focuses on methods that are specific to CPSoS for both design and operational-time.

Automation of test, verification, and validation is only one part of ADEPTNESS whereas in TESTOMAT this is the main project topic. More information

HIFI-ELEMENTS

HiFi-ELEMENTS aims to develop, validate and publish a recommendation for standardization of model interfaces for common e-drive components, and implement compliant versions of existing models. The project proposes a novel workflow to the reduction in development and testing efforts to increase in testing efficiency and to earlier co-simulation of automotive systems. More information.

MegaM@Rt2

The objective of the MegaM@Rt2 project is the creation of a framework that incorporates methods and tools for continuous development and validation leveraging the advantages in scalable model-based methods to provide benefits in significantly improved productivity, quality, and predictability of large and complex industrial systems. MegaM@Rt2 will provide methods for traceability from runtime models to design models and tools for validation at runtime.
ADEPTNESS will take into account these tools for the continuous validation scientific objective (STO2.2) and goes further with the aim of incorporating these kinds of tools into the workflow for continuous deployment. More information

Productive 4.0

The objective of Productive 4.0 is to achieve significant improvement in digitalizing the European industry using electronics and ICT. Some of the challenges of the project are: Self-configurable supply chain processes and automated order-/contract handling are required; also innovative features and fail-operational concepts including sensors and actuators – all the way from the IoT-component level to complete autonomous systems like robots or intelligent cars. MGEP works on different research and innovation topics. One of them is the concept of the Safety Manager Service to be offered as a service of the Arrowhead platform. This service will be operating at runtime checking the information provided by different services to be able to update the configuration of those systems automatically when, for instance, an unexpected situation is detected. ADEPTNESS is also focusing its research on this safe adaptation, but in addition, it considers adaptive techniques based on machine learning. The research that is defined in ADEPTNESS will go deeper but the Safety Manager concept defined and developed during Productive 4.0 by MGEP will be considered and extended to support recovery mechanisms for CPSoS at operation time. More information