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https://ir.cwi.nl/pub/10974/10...
Part of book or chapter of book
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https://doi.org/10.1007/117597...
Part of book or chapter of book . 2006 . Peer-reviewed
License: Springer TDM
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Simulated Time for Testing Railway Interlockings with TTCN-3

Authors: Stefan Blom; Natalia Ioustinova; Jaco van de Pol; Axel Rennoch; Natalia Sidorova;

Simulated Time for Testing Railway Interlockings with TTCN-3

Abstract

Abstract. Railway control systems are timed and safety-critical. Testing these systems is a key issue. Prior to system testing, the software of a railway control system is tested separately from the hardware. Here we show that real time and scaled time semantics are inefficient for testing this software. We provide a time semantics with simulated time and show that this semantics is more suitable for testing of software of railway control systems. TTCN-3 is a standardized language for specifying and executing test suites. It supports real time and scaled time but not simulated time. We provide a solution that allows simulated time testing with TTCN-3. Our solution is based on Dijkstra’s distributed termination detection algorithm. The solution is implemented and can be reused for simulated time testing of other systems with similar characteristics.

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Netherlands
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
2
Average
Top 10%
Average