Nov 9, 2022 · This study aims to validate the performance of the pretrained DL-APR model in fixing defects in the Samsung Kotlin projects, then improve its performance by ...
Nov 14, 2022 · ABSTRACT. Deep learning-based automated program repair (DL-APR) can au- tomatically fix software bugs and has received significant attention.
[22] empirically investigated the performance of TFix in fixing errors from industrial Samsung Kotlin projects detected by a static analysis tool SonarQube.
An empirical study of deep transfer learning-based program repair for Kotlin projects ... DEAR: A Novel Deep Learning-based Approach for Automated Program Repair
An empirical study of deep transfer learning-based program repair for Kotlin projects. M Kim, Y Kim, H Jeong, J Heo, S Kim, H Chung, E Lee. Proceedings of the ...
An empirical study of deep transfer learning-based program repair for Kotlin projects [2022-FSE/ESEC] [paper]; TFix-Learning to Fix Coding Errors with a Text ...
Apr 25, 2024 · An empirical study of deep transfer learning-based program repair for Kotlin projects. ESEC/SIGSOFT FSE 2022: 1441-1452; 2021. [j2]. view.
An empirical study of deep transfer learning-based program repair for Kotlin projects M Kim, Y Kim, H Jeong, J Heo, S Kim, H Chung, E Lee
ESEC/FSE. Author of An Empirical Study of Deep Transfer Learning-Based Program Repair for Kotlin Projects within the Industry Paper-track. ASE. Author of Multi ...
An Empirical Study of Deep Transfer Learning-Based Program Repair for Kotlin Projects. Industry Paper. Misoo Kim Sungkyunkwan University, Youngkyoung Kim ...