Component-Based Context-Dependent Hybrid Property Prediction
نویسندگان
چکیده
Many embedded systems for vehicles and consumer electronics critically depend on efficient, reliable control software, and practical methods for their production. Component-based software engineering for embedded systems is currently gaining ground since variability, reusability, and maintainability are efficiently supported. However, existing tools and methods do not guarantee efficient resource usage in these systems. We present a method that enables resource-efficient component-based control software by extending hybrid property prediction methods (i.e. combining static and dynamic techniques) to be context-dependent, enabling less pessimistic extra-functional component property predictions and, hence, improved resource utilisation.
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