DEAR: a novel deep learning-based approach for automated program repair

The existing deep learning (DL)-based automated program repair (APR) models are limited in fixing general software defects. We present DEAR, a DL-based approach that supports fixing for the general bugs that require dependent changes at once to one or multiple consecutive statements in one or multip...

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Bibliographic Details
Main Authors: Li, Yi, Wang, Shaohua, Nguyen, Tien N.
Format: Conference Proceeding
Language:English
Subjects:
Analytical models
Automated Program Repair
Codes
Computer bugs
Deep learning
Fault Localization
Location awareness
Maintenance engineering
Software and its engineering > Software notations and tools > Software maintenance tools
Training
Online Access:Request full text
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