Introducing Temporal Analyzability Late in the Lifecycle of Complex Real-Time Systems

Many industrial real-time systems have evolved over a long period of time and were initially so simple that it was possible to predict consequences of adding new functionality by common sense. However, as the system evolves the possibility to predict the consequences of changes become more and more di cult unless models and analysis method can be used. In this paper we describe our approach to re-introducing analyzability into a complex real-time control system at ABB Robotics. The system consists of about 2 500 000 lines of code. Traditional real-time models and analyses, e.g. xed priority analysis, were not applicable on this large and complex real-time system since the models are too simple for describing the system's behavior accurately, and the analyses are too pessimistic. The proposed method is based on analytical models and discrete-event based simulation of the system behavior based on these models. The models describe execution times as statistical distributions which ar...

• Type: Conference
• Year: 2003
• Where: RTCSA
• Authors: Anders Wall, Johan Andersson, Jonas Neander, Christer Norström, Martin Lembke
• Keywords: Cult Unless Models, Real-Time Computing, Real-time Systems, RTCSA 2003, Traditional Real-time Models