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In this section we will demonstrate how to identify code transformations that preserve structural code-coverage.
SCOOP was designed to use architectural information to identify code anomalies.
Therefore, ACE is also able to identify code elements in informal documents from multiple APIs.
For example, Fowler (1999) does not provide objective criteria to identify code smells.
The authors performed an exploratory study using the concern mapping multi-perspective approach to identify code smells.
The authors performed an exploratory study with five developers, using a concern mapping multi-perspective approach to identify code smells.
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Make meaning, so as to bring about meaning-making, and identify code-switching to define your otherness.
They identify code-like terms from free-form text by using lightweight regular expressions and from code fragments by using partial program analysis (PPA).
First, they developed an island parser based on constructs in the Java Language Specification in order to identify code-like terms from free-form text and code fragments.
Therefore, ACE is able to identify code-like terms from source code that did not compile, different to RecoDoc that uses PPA creating a dependence on the Eclipse Java compiler.
Molecular biologists identify coding sequences of DNA and hence the proteins that these sequence produce in the developing organism.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com