A systematic mapping study of source code representation for deep learning in software engineering

Abstract The usage of deep learning (DL) approaches for software engineering has attracted much attention, particularly in source code modelling and analysis. However, in order to use DL, source code needs to be formatted to fit the expected input form of DL models. This problem is known as source c...

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Bibliographic Details
Main Authors: Hazem Peter Samoaa, Firas Bayram, Pasquale Salza, Philipp Leitner
Format: Article
Language:English
Published: Wiley 2022-08-01
Series:IET Software
Online Access:https://doi.org/10.1049/sfw2.12064
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