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Electronic Notes in Theoretical Computer Science
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Temporal Assertions using AspectJ

descriptionPublicationkeyboard_double_arrow_right Article , Conference object 01 May 2006 English Publisher:Elsevier BVJournal:Electronic Notes in Theoretical Computer Science, volume 144, pages 109-124 (issn: 1571-0661, Copyright policy )
Authors: Volker Stolz; Eric Bodden;

doi: 10.1016/j.entcs.2006.02.007

Temporal Assertions using AspectJ

Abstract

AbstractWe present a runtime verification framework for Java programs. Properties can be specified in Linear-time Temporal Logic (LTL) over AspectJ pointcuts. These properties are checked during program-execution by an automaton-based approach where transitions are triggered through aspects. No Java source code is necessary since AspectJ works on the bytecode level, thus even allowing instrumentation of third-party applications. As an example, we discuss safety properties and lock-order reversal.

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Keywords

aspect-oriented programming, AspectJ, alternating automata, Runtime verification, LTL, Theoretical Computer Science, Computer Science(all)

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    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).
    		 89
    popularity
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    influence
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    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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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!
89
Top 10%
Top 1%
Top 10%
gold