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Real-Time Systems
Article . 1990 . Peer-reviewed
License: Springer TDM
Data sources: Crossref
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
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Comparative evaluation of high-level real-time programming languages

Authors: HALANG, WA; STOYENKO, AD;

Comparative evaluation of high-level real-time programming languages

Abstract

Owing to the fast growing need for better means of building real-time systems, a number of representative languages used in real-time programming is surveyed. The evaluation focuses on seven languages which possess explicit real-time features. Based on a categorization of the latter, the seven languages are then compared with respect to their real-time capabilities. The strong points and the limitations of Ada and PEARL, the only high-level real-time languages readily applicable in industrial control environments, are covered in more detail. The evaluation reveals that none of the languages actually used in industry is genuinely real-time. Therefore, a number of new features is suggested for incorporation into existing or future languages and their run-time environments. These proposals are meant to advance the inadequate state of affairs, and also to reignite the discussion of this topic in the real-time community.

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Netherlands
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    popularity
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    Average
    influence
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    impulse
    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!
32
Average
Top 1%
Top 10%
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