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Towards Automatically Addressing Self-Admitted Technical Debt: How Far
  Are We?

Towards Automatically Addressing Self-Admitted Technical Debt: How Far Are We?

17 August 2023
A. Mastropaolo
M. D. Penta
Gabriele Bavota
ArXivPDFHTML

Papers citing "Towards Automatically Addressing Self-Admitted Technical Debt: How Far Are We?"

4 / 4 papers shown
Title
No More Fine-Tuning? An Experimental Evaluation of Prompt Tuning in Code
  Intelligence
No More Fine-Tuning? An Experimental Evaluation of Prompt Tuning in Code Intelligence
Chaozheng Wang
Yuanhang Yang
Cuiyun Gao
Yun Peng
Hongyu Zhang
Michael R. Lyu
AAML
52
133
0
24 Jul 2022
CodeT5: Identifier-aware Unified Pre-trained Encoder-Decoder Models for
  Code Understanding and Generation
CodeT5: Identifier-aware Unified Pre-trained Encoder-Decoder Models for Code Understanding and Generation
Yue Wang
Weishi Wang
Shafiq R. Joty
S. Hoi
210
1,485
0
02 Sep 2021
CURE: Code-Aware Neural Machine Translation for Automatic Program Repair
CURE: Code-Aware Neural Machine Translation for Automatic Program Repair
Nan Jiang
Thibaud Lutellier
Lin Tan
NAI
132
233
0
26 Feb 2021
Learning Structural Edits via Incremental Tree Transformations
Learning Structural Edits via Incremental Tree Transformations
Ziyu Yao
Frank F. Xu
Pengcheng Yin
Huan Sun
Graham Neubig
CLL
141
27
0
28 Jan 2021
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