Abstract | ||
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Software debugging, and program repair are among the most time-consuming and labor-intensive tasks in software engineering that would benefit a lot from automation. In this paper, we propose a novel automated program repair approach based on CodeBERT, which is a transformer-based neural architecture pre-trained on large corpus of source code. We fine-tune our model on the ManySStuBs4J small and la... |
Year | DOI | Venue |
---|---|---|
2021 | 10.1109/MSR52588.2021.00063 | 2021 IEEE/ACM 18th International Conference on Mining Software Repositories (MSR) |
Keywords | DocType | ISSN |
Training,Java,Automation,Computer bugs,Computer architecture,Maintenance engineering,Data mining | Conference | 2160-1852 |
ISBN | Citations | PageRank |
978-1-7281-8710-5 | 4 | 0.43 |
References | Authors | |
0 | 2 |
Name | Order | Citations | PageRank |
---|---|---|---|
Ehsan Mashhadi | 1 | 4 | 0.43 |
Hadi Hemmati | 2 | 622 | 27.54 |