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Cross-Language Code Analysis and Refactoring

Authors: Philip Mayer; Andreas Schroeder 0001;

Cross-Language Code Analysis and Refactoring

Abstract

Software composed of artifacts written in multiple (programming) languages is pervasive in today's enterprise, desktop, and mobile applications. Since they form one system, artifacts from different languages reference one another, thus creating what we call semantic cross-language links. By their very nature, such links are out of scope of the individual programming language, they are ignored by most language-specific tools and are often only established -- and checked for errors -- at runtime. This is unfortunate since it requires additional testing, leads to brittle code, and lessens maintainability. In this paper, we advocate a generic approach to understanding, analyzing and refactoring cross-language code by explicitly specifying and exploiting semantic links with the aim of giving developers the same amount of control over and confidence in multi-language programs they have for single-language code today.

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Powered by OpenAIRE graph
Found an issue? Give us feedback
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!
20
Top 10%
Top 10%
Top 10%
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