Java Syntax Error Repair Using RoBERTa

Abstract: Deep learning has achieved promising results for automatic program repair (APR).In this paper, we revisit this topic and propose an end-to-end approach Classfix tocorrect java syntax errors. Classfix uses the RoBERTa classification model to localizethe error, and uses the RoBERTa encoder-decoder model to repair the located buggyline. Our work introduces a new localization method that enables us to fix a programwith an arbitrary length. Our approach categorises errors into symbol errors and worderrors. We conduct a large scale experiment to evaluate Classfix and the result showsClassfix is able to repair 75.5% symbol errors and 64.3% word errors. In addition,Classfix achieves 97% and 84.7% accuracy in locating symbol errors and word errors,respectively.