The purpose of this document is define the traceability mechanism from operational data to development lifecycle using the developed OSLC Bridge.

This document presents the research and experiments done on recovery mechanisms and overall resilience improvement of CPSoS.

Read the D3.3: Report on recovery mechanisms for CPSoS and overall resilience improvement

This document presents the uncertainty detection methods at runtime, mainly includes two
parts: (1) anomaly detection with curriculum learning and (2) uncertainty-aware robustness
assessment.

Read the D3.2: Report on unforeseen situations learner

This document presents the research and experiments done on the application of test oracles at the operational time of CPSoS.

Read the D3.1: Report on the application of test oracles at the operational time of CPSoS

This document provides a reference guide of the subsystems involved in the ADEPTNESS ecosystem and their associated microservices. It allows early adopters to map specific components in their infrastructure to check
the viability and the added value of their adoption. It also describes the staged workflow to enable this microservices-based architecture, including the monitoring, validation, uncertainty detection, recovery and
knowledge extraction of operational data, thereby providing benefits on the deployment effort, a reduction in time to recovery and a reduction of bugs.

Read the Adeptness Whitepaper

This document describes the design of the deployment and monitoring subsystems of the Adeptness framework. These subsystems are the basis for other subsystems as e.g., the validation or the uncertainty detection subsystems.

Read the D2.2: Report on tools, methods and services for continuous deployment in CPSoS