WP8 – Integration, Pilots, and Validation
Coordinated by
HS (M09-M36)
Objective
This work package has the following objectives:
- Develop a cloud platform, according to the reference architecture of WP2, that host the verification and validation activities within BIECO, as well as the applications and datasets of the pilots.
- Develop the business case implementations.
- Provide a set of front-end applications for enabling the back-end services developed in the project.
- Establish a common integration, testing and verification strategy for the various software implementations of the BIECO framework.
- To test the BIECO framework and tools.
- To validate and verify the BIECO framework, consisting of platform, security tools and business case applications.
- To test and validate the use cases, both from the technological and business perspective.
Objectives
- D8.1 BIECO verification and testing strategy WP8 (8 – HS) Report Public M12
- D8.2 BIECO Assessment methodology WP8 (1 – UNINOVA) Report Public M20
- D8.3 BIECO Assessment report WP8 (1 – UNINOVA) Report Public M36
Outcomes
Fail-operation clock synchronization methodology
MENTORS – Monitoring Environment for System of Systems
MENTORS - Monitoring Environment for System of Systems Authors: Antonello Calabrò, Said Daoudagh, Eda Marchetti Document type: Publication in Conference proceedings Publication: Proceedings of the 17th International Conference on Web Information Systems and...
GRADUATION: A GDPR-based Mutation Methodology
GRADUATION: A GDPR-based Mutation Methodology Authors: Said Daoudagh, Eda Marchetti Document type: Publication in Conference proceedings/Workshop Publisher: Quality of Information and Communications Technology. QUATIC 2021. Communications in Computer and Information...
The GDPR Compliance Through Access Control Systems
Author: Said Daoudagh
Second F2F Meeting, Vienna
The second BIECO F2F meeting held in Vienna from October 17-19, 2022, primarily aimed to discuss the BIECO project's current status, the use cases, and present an overview of the BIECO Framework. Additionally, the meeting focused on iterative improvements of the BIECO...
Reliability and Robustness of machine learning in Smart Ecosystems
Within the Smart digital Ecosystems (SES), the utilization of AI, and Machine Learning (ML) in particular, becomes increasingly prevalent scenarios designed for elevating the user experience of a system's functional performance. The BIECO approach on building trust in...
