Current Result Document :
| 한글제목(Korean Title) |
Automated Program Repair using Pre-trained Model for Programming Languages |
| 영문제목(English Title) |
Automated Program Repair using Pre-trained Model for Programming Languages |
| 저자(Author) |
Aditi
Su-Hyeon Kim
Hyeon-Tae Seo
Sang-Ki Ko
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| 원문수록처(Citation) |
VOL 49 NO. 02 PP. 1682 ~ 1684 (2022. 12) |
한글내용
(Korean Abstract) |
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영문내용
(English Abstract) |
The problem of automatically fixing programming errors is an emerging topic in the field of software engineering. Fixing errors in the code is a challenging problem, as a simple error may require syntactic and semantic analysis of the entire program to fix the error. These errors occur mostly due to the lack of the programmer’s attention and concentration while programming. Recently, many researchers have proposed various deep learning-based solutions by teaching neural networks how to fix given erroneous source codes from numerous source codes publicly available. In this work, we present a deep learning-based solution for automatically fixing given C programs using a pre-trained model for programming language, CodeBERT. We evaluate our method with the publicly available dataset (DeepFix dataset) that consists of erroneous C programs submitted by novice programming students. |
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| 파일첨부 |
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