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Executable assertions and timed traces for on-line software error detection

Authors: Christophe Rabéjac; Jean-Paul Blanquart; Jean-Pierre Queille;

Executable assertions and timed traces for on-line software error detection

Abstract

The topic of this paper is the detection of errors due to residual faults in software, particularly those with temporary effects. After positioning our approach amongst existing fault tolerance and detection techniques, we propose detection mechanisms for such errors. These mechanisms are designed to detect both data and control flow errors. They can be validated by both formal and fault-injection techniques. In particular, we propose a timed trace technique allowing one to specify the expected software behavior and to instantiate from this specification a generic control-flow checking automaton. The critical algorithms of this automaton are formally proved. To develop these mechanisms, we also propose a design and validation method based on a monitoring specification. Finally, we apply these techniques on two cases of embedded real-time software in order not only to validate them but also to estimate their efficiency and applicability.

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    15
    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.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
Powered by OpenAIRE graph
Found an issue? Give us feedback
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!
15
Average
Top 10%
Top 10%
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