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Using Analytical Models of Complex Real-Time Systems for Temporal Impact Analysis

To predict the temporal impact of adding new functionality to large and complex real-time systems becomes more difficult the older the system gets. In this paper we describe the concept of analytical models and how we can use the analytical model for predicting the temporal impact of adding new or changing existing functions. We define tree levels of abstractions in the analytical model, requirements, components, and implementation. The concept has been applied on two large and complex industrial embedded real-time systems: a robot control system and a vehicle control system. The case studies unveil two different approaches to the construction, and maintenance of the analytical model of a system, “by construction” or “by re-engineering”. Moreover, we show that both static analytical methods and simulation-based methods are applicable when analyzing a real-time system. It is the characteristics of the system and the correctness criterion that determines the most appropriate method.