A Survey of Learning-based Automated Program Repair
Quanjun Zhang,
Chunrong Fang,
Yuxiang Ma
et al.
Abstract:Automated program repair (APR) aims to fix software bugs automatically and plays a crucial role in software development and maintenance. With the recent advances in deep learning (DL), an increasing number of APR techniques have been proposed to leverage neural networks to learn bug-fixing patterns from massive open-source code repositories. Such learning-based techniques usually treat APR as a neural machine translation (NMT) task, where buggy code snippets (i.e., source language) are translated into fixed co… Show more
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