A Model-Driven Approach for Validating Safe Adaptive Behaviors
Abstract
Adaptive embedded software systems have the ability to adapt themselves in response to hardware/software failures at runtime. However, ensuring safe adaptive behaviors of these systems is a major challenge. In this paper, we propose an approach to facilitate the validation of such adaptive behaviors. To do so, an architecture description language for automotive embedded systems (EAST-ADL) is used for designing the software. The system design model is then used for generating the embedded software. To ensure that the system behaves correctly at runtime, its adaptive behavior is analyzed using fault injection and monitoring techniques on a virtual platform. This work is part of the European project SafeAdapt, which provides a novel architecture for adaptive systems in the automotive domain. It also describes a particular aspect, virtual validation, in the evolution of the EQUITAS project.
Keywords
Accident prevention
Adaptive systems
Computer software
Embedded software
Systems analysis
Adaptive software systems
Architecture description languages
Automotive embedded systems
Embedded software systems
Model driven approach
Model driven development
Monitoring techniques
Virtual platform
Embedded systems