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@Java

annotations in freedom
Authors: Walter Cazzola; Edoardo Vacchi;
Abstract

The ability to annotate code and, in general, the capability to attach arbitrary metadata to portions of a program are features that have become more and more common in programming languages. In fact, various programming techniques and tools exploit their explicit availability for a number of purposes, such as extracting documentation, guiding code profiling, enhancing the description of a data type, marking code for instrumentation (for instance, in aspect-oriented frameworks), and the list could go on.While support to attach metadata to code is not a new concept (programming platforms as CLOS and Smalltalk have pioneered in this field), consistent, pervasive APIs to define and manage code annotations are something comparatively recent on modern platforms like the .NET and Java.Annotations in Java make possible to attach custom, structured metadata to declarations of classes, fields and methods. With this work, we propose an extension to Java (named @Java) that has a richer annotation model, supporting code block and expression annotations. In other words, the granularity of annotations extends to the statement and expression level and does not limit to class, method and field declarations.

Country
Italy
Related Organizations
Keywords

Code annotating; Java; Meta-data; Reflection

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    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.
    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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    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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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!
6
Average
Average
Top 10%
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