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Interruptible context-dependent executions

a fresh look at programming context-aware applications
Authors: Bainomugisha, Engineer; Vallejos Vargas, Jorge Antonio; De Roover, Coen; Lombide Carreton, Andoni; De Meuter, Wolfgang;

Interruptible context-dependent executions

Abstract

Context-aware applications provide end-users with enhanced experiences by continuously sensing their environment and adapting their behaviour to match the current context of use. However, developing true context-aware applications remains notoriously difficult due to the unpredictable nature of context changes. A context change may occur at any moment during a procedure execution, which may require an ongoing execution to be promptly interrupted in order to prevent the procedure from running in a wrong context. Currently, developers have to manually constrain a procedure execution to a particular context and take care of saving and restoring the execution state between context changes. Such manual approaches are error-prone and may lead to incorrect application behaviour.This paper presents a novel programming language model called interruptible context-dependent executions, where a procedure execution is always constrained to happen only under a specified context. In this model, a procedure execution can be seamlessly interrupted or resumed depending on the context. Additionally, the procedure execution state is automatically preserved between interruptions. We present the Flute language that supports interruptible context-dependent executions.

Related Organizations
Keywords

interruptible context-dependent executions, Context-aware applications, reactive dispatching, prompt adaptations

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    popularity
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    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).
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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
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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!
24
Average
Top 10%
Top 10%
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