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Inferring Javascript types using Graph Neural Networks

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 نشر من قبل Jessica Schrouff
 تاريخ النشر 2019
  مجال البحث الهندسة المعلوماتية
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The recent use of `Big Code with state-of-the-art deep learning methods offers promising avenues to ease program source code writing and correction. As a first step towards automatic code repair, we implemented a graph neural network model that predicts token types for Javascript programs. The predictions achieve an accuracy above $90%$, which improves on previous similar work.



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