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Electronic Notes in Theoretical Computer Science
Article . 2001 . Peer-reviewed
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https://dx.doi.org/10.48550/ar...
Article . 2004
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A framework for interoperability

Authors: Riccardo Pucella; Kathleen Fisher; John Reppy;

A framework for interoperability

Abstract

Practical implementations of high-level languages must provide access to libraries and system services that have APIs specified in a low-level language (usually C). An important characteristic of such mechanisms is the foreign-interface policy that defines how to bridge the semantic gap between the high-level language and C. For example, IDL-based tools generate code to marshal data into and out of the high-level representation according to user annotations. The design space of foreign-interface policies is large and there are pros and cons to each approach. Rather than commit to a particular policy, we choose to focus on the problem of supporting a gamut of interoperability policies. In this paper, we describe a framework for language interoperability that is expressive enough to support very efficient implementations of a wide range of different foreign-interface policies. We describe two tools that implement substantially different policies on top of our framework and present benchmarks that demonstrate their efficiency.

16 pages; 1 figure; appeared in Proceedings of the 1st International Workshop on Multi-Language Infrastructure and Interoperability (BABEL'01), ENTCS 59(1), 2001

Related Organizations
Keywords

D.2.12, FOS: Computer and information sciences, Computer Science - Programming Languages, D.3.4, D.2.12;D.3.4, Theoretical Computer Science, Computer Science(all), Programming Languages (cs.PL)

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citations
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!
17
Average
Top 10%
Average
Green
gold