Automatic Code Review by Learning the Structure Information of Code Graph

At present, the explosive growth of software code volume and quantity makes the code review process very labor-intensive and time-consuming. An automated code review model can assist in improving the efficiency of the process. Tufano et al., designed two automated tasks to help improve the efficienc...

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Veröffentlicht in:	Sensors (Basel, Switzerland) Jg. 23; H. 5; S. 2551
Hauptverfasser:	Yin, Ying, Zhao, Yuhai, Sun, Yiming, Chen, Chen
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Switzerland MDPI AG 24.02.2023 MDPI
Schlagworte:	Algorithms Analysis Artificial intelligence code review CodeBERT Computational linguistics Deep learning Efficiency Feedback Language processing Liu, Timothy Natural language Natural language interfaces Neural networks Open source software program dependency graph Programming languages Semantics Software engineering Syntax Trees New Jersey deep learning code review program dependency graph CodeBERT
ISSN:	1424-8220, 1424-8220
Online-Zugang:	Volltext
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