ATESST2 - Advancing Traffic Efficiency and Safety through Software Technology Phase 2
Overview
Background & policy context:
Advanced automotive functions are increasingly dependent on software and electronics. The complexity and criticality of automotive embedded systems already constitute an inhibiting factor for further evolution of functionality. This is evident for single automotive systems and even more so for functions that interact between vehicles and between vehicle and infrastructure and cooperative systems. New techniques and methodologies that support cost-efficient development, verification and validation (VandV), including efficient field-operational tests, are required to exploit the new opportunities.
Objectives:
ATESST2 contributed to bridging the gap between cooperative systems and enabling design and verification technologies. The basis of the project was the architecture description language EAST-ADL2, developed in the ATESST project. The language provided an information structure and ontology that made the development of stand-alone automotive embedded systems more systematic and predictable.
Methodology:
In ATESST2, the EAST-ADL2 modeling approach was further extended and new results were provided to support the development and VandV of cooperative active safety systems. The end results included:
- An architecture description language with improved means for capturing the requirements, characteristics and configurations of cooperative systems and the related analysis and VandV;
- Methodology and guidelines supporting language/tool adoption and cost-efficient development and VandV;
- Harmonisation of EAST-ADL2 with relevant standards including AUTOSAR and SysML.
The model-based development and VandV approach to be developed in ATESST2 contributed to improving Communication amongst system stakeholders, Documentation and VandV capabilities. This was a shift from today's document-driven testing and simulation procedures towards a model-based way of working. This provided the means for stakeholders to deal with the complexity and risk management of cooperative active safety systems.
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