You are required to read and agree to the below before accessing a full-text version of an article in the IDE article repository.

The full-text document you are about to access is subject to national and international copyright laws. In most cases (but not necessarily all) the consequence is that personal use is allowed given that the copyright owner is duly acknowledged and respected. All other use (typically) require an explicit permission (often in writing) by the copyright owner.

For the reports in this repository we specifically note that

  • the use of articles under IEEE copyright is governed by the IEEE copyright policy (available at http://www.ieee.org/web/publications/rights/copyrightpolicy.html)
  • the use of articles under ACM copyright is governed by the ACM copyright policy (available at http://www.acm.org/pubs/copyright_policy/)
  • technical reports and other articles issued by M‰lardalen University is free for personal use. For other use, the explicit consent of the authors is required
  • in other cases, please contact the copyright owner for detailed information

By accepting I agree to acknowledge and respect the rights of the copyright owner of the document I am about to access.

If you are in doubt, feel free to contact webmaster@ide.mdh.se

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

Fulltext:


Publication Type:

Conference/Workshop Paper

Venue:

In proceedings of RTCSA 03


Abstract

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 difficult 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. fixed 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 are measured and calculated in the existing system. Simulation will not only enable models with statistical execution times, but also correctness criterion other than meeting deadlines, e.g. non-empty communication queues. Having accurate system models enable analysis of the impact on the temporal behavior of, e.g. customizing or maintaining the software. The case study presented in the paper shows the feasibility of the method. The method presented is applicable to a large class of complex real-time systems.

Bibtex

@inproceedings{Wall387,
author = {Anders Wall and Johan Kraft and Jonas Neander and Christer Norstr{\"o}m and Martin Lembke},
title = {Introducing Temporal Analyzability Late in the Lifecycle of Complex Real-Time Systems},
month = {February},
year = {2003},
booktitle = {In proceedings of RTCSA 03},
url = {http://www.es.mdu.se/publications/387-}
}