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Using Data Consistency Assumptions to Show System Safety

  • Glenn Bruns
  • Stuart Anderson
Part of the Dependable Computing and Fault-Tolerant Systems book series (DEPENDABLECOMP, volume 9)

Abstract

Systems cannot usually be proved safe unless some failure assumptions are made. Here we prove that the water level in a generic boiler system is always within its safe range by assuming that device failures result in inconsistent readings. Key parts of our approach are a failure-reporting strategy that determines failures from consistency conditions, and a level-calculation strategy that gives a best estimate of boiler level in light of the reported failures. These strategies are generic and could be used in other safety-critical applications.

Keywords

Consistency Condition Safety Property Boiler System Recovery Block Data Fusion Model 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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References

  1. [1]
    T. Anderson and P.A. Lee, editors. Fault Tolerance: Principles and Practice. Prentice Hall, 1981.Google Scholar
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    Flaviu Cristian. A rigorous approach to fault-tolerant programming. IEEE Transactions on Software Engineering, SE-11(1), January 1985.Google Scholar
  3. [3]
    Specification for a software program for a boiler water content monitor and control system. Institute for Risk Research, 1992.Google Scholar
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    Leslie Lamport. The temporal logic of actions. Technical Report 79, Digital Systems Research Center, 1991.Google Scholar
  5. [5]
    B. Randall. System structure for software fault tolerance. IEEE Transactions on Software Engineering, SE1(2), 1975.Google Scholar

Copyright information

© Springer-Verlag/Wien 1995

Authors and Affiliations

  • Glenn Bruns
    • 1
  • Stuart Anderson
    • 1
  1. 1.Laboratory for Foundations of Computer ScienceUniversity of EdinburghEdinburghUK

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