Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: TypeWriter: Neural Type Prediction with Search-based Validation   Maintaining large code bases written in dynamically typed languages, such as
JavaScript or Python, can be challenging due to the absence of type
annotations: simple data compatibility errors proliferate, IDE support is
limited, and APIs are hard to comprehend. Recent work attempts to address those
issues through either static type inference or probabilistic type prediction.
Unfortunately, static type inference for dynamic languages is inherently
limited, while probabilistic approaches suffer from imprecision. This paper
presents TypeWriter, the first combination of probabilistic type prediction
with search-based refinement of predicted types. TypeWriter's predictor learns
to infer the return and argument types for functions from partially annotated
code bases by combining the natural language properties of code with
programming language-level information. To validate predicted types, TypeWriter
invokes a gradual type checker with different combinations of the predicted
types, while navigating the space of possible type combinations in a
feedback-directed manner. We implement the TypeWriter approach for Python and
evaluate it on two code corpora: a multi-million line code base at Facebook and
a collection of 1,137 popular open-source projects. We show that TypeWriter's
type predictor achieves an F1 score of 0.64 (0.79) in the top-1 (top-5)
predictions for return types, and 0.57 (0.80) for argument types, which clearly
outperforms prior type prediction models. By combining predictions with
search-based validation, TypeWriter can fully annotate between 14% to 44% of
the files in a randomly selected corpus, while ensuring type correctness. A
comparison with a static type inference tool shows that TypeWriter adds many
more non-trivial types. TypeWriter currently suggests types to developers at
Facebook and several thousands of types have already been accepted with minimal
changes.

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The categories of this paper are: eess
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The categories of this paper are: quant-ph
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The categories of this paper are: stat
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The categories of this paper are: dg-ga
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The categories of this paper are: econ
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The categories of this paper are: atom-ph
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The categories of this paper are: funct-an
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The categories of this paper are: mtrl-th
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The categories of this paper are: hep-ph
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The categories of this paper are: math-ph
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The categories of this paper are: q-bio
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The categories of this paper are: physics
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The categories of this paper are: gr-qc
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The categories of this paper are: math
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The categories of this paper are: nucl-ex
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The categories of this paper are: hep-lat