Abstract
This abstract discusses a model-based architectural approach for improving predictability of performance in embedded real-time systems. This approach utilizes automated analysis of task and communication architectures to provide insight into schedulability and reliability during design. Automatic generation of a runtime executive that performs task dispatching and inter-task communication eliminates manual coding errors and results in a system that satisfies the specified execution behavior. The MetaH language and toolset supports this model-based approach. MetaH has been used in a demo projects applied to missile guidance systems and spacecraft attitude control. Reduced time and cost benefits observed will be discussed as a case study.