From 27.11.2025 09:00 until 27.11.2025 17:15
At Online, CET (UTC+2)
Posted by G4S Editor
Categories: G4S Events, Online
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Feedback from experiences in the application of Automotive SPICE 4.0 to projects dealing with ML technologies are still quite limited and, despite the on-going training campaign, several open issues and gray areas still exist for practitioners. One of the most challenging are-as of the application of Automotive SPICE 4.0 for ML is the Data Management and its integra-tion with the other processes of the PRM.
After a general introduction to ensure that all participants are aligned on the core aspects of the ML processes of the PRM, an overview of the existing related reference standards, and a brief dissertation of the relationships between SUP.11 and Data Management SPICE are pro-vided.
ASPICE 4.0 SUP.11 vs. Data Manage-ment SPICE: a comparative analysis
| Start | End | Topic | Owner |
| 09:00 | 09:45 | Welcome and introduction of the Gate for SPICE | F. Bella |
| 09:45 | 10:15 | Overview of ASPICE 4.0 MLE Processes | G. Lami |
| 10:15 | 10:45 | Existing reference standards for ML | C.Donzella |
| 10:45 | 11:15 | ASPICE 4.0 SUP.11 vs. Data Management SPICE: a comparative analysis | F. Bella |
| 11:15 | 11:30 | Break | |
| 11:30 | 13:00 | Introduction of topics for working groups | C. Donzella (topic: Data Management System + Traceability and Consistency of Data – issues in configuration and traceability of large datasets as compared to tradition SW development) – 30 minutes G. Lami (topic: Data Quality Assurance – issues in developing and deploying a Data Quality Assurance Approach) – 30 minutes G. Nicosia (topic: ML Data Collection and Processing – issues in adoption of ODD-compliant scenarios and monitoring of raw data) – 30 minutes |
| 13:00 | 14:00 | Lunch break | |
| Working Groups (parallel sessions) | |||
| 15:15 | 16:15 | Presentation of results (20 minutes for each group) | |
| 16:15 | 16:30 | Break | |
| 16:30 | 17:00 | Plenary discussion | |
| 17:00 | 17:15 | Closure |