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A Case for “Piggyback” Runtime Monitoring

Authors: Sylvain Hallé; Raphaël Tremblay-Lessard;

A Case for “Piggyback” Runtime Monitoring

Abstract

A runtime monitor enforcing a constraint on sequences of method calls on an object must keep track of the state of the sequence by updating an appropriate state machine. The present paper stems from the observation that an object's member fields must already contain an encoding of that state machine, and that a monitor essentially duplicates operations that the object performs internally. Rather than maintain a state machine in parallel, the paper puts forward the concept of "piggyback" runtime monitoring, where the monitor relies as much as possible on the object's own state variables to perform its task. Experiments on real-world benchmarks show that this approach greatly simplifies the monitoring process and drastically reduces the incurred runtime overhead compared to classical solutions.

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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!
1
Average
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