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A Neural Architecture for Generating Natural Language Descriptions from
  Source Code Changes

A Neural Architecture for Generating Natural Language Descriptions from Source Code Changes

17 April 2017
Pablo Loyola
Edison Marrese-Taylor
Y. Matsuo
ArXivPDFHTML

Papers citing "A Neural Architecture for Generating Natural Language Descriptions from Source Code Changes"

15 / 15 papers shown
Title
Edisum: Summarizing and Explaining Wikipedia Edits at Scale
Edisum: Summarizing and Explaining Wikipedia Edits at Scale
Marija Sakota
Isaac Johnson
Guosheng Feng
Robert West
SyDa
KELM
45
2
0
04 Apr 2024
A Survey on Natural Language Processing for Programming
A Survey on Natural Language Processing for Programming
Qingfu Zhu
Xianzhen Luo
Fang Liu
Cuiyun Gao
Wanxiang Che
25
2
0
12 Dec 2022
Learning to Model Editing Processes
Learning to Model Editing Processes
Machel Reid
Graham Neubig
KELM
BDL
116
35
0
24 May 2022
Borrowing from Similar Code: A Deep Learning NLP-Based Approach for Log
  Statement Automation
Borrowing from Similar Code: A Deep Learning NLP-Based Approach for Log Statement Automation
Sina Gholamian
Paul A. S. Ward
22
3
0
02 Dec 2021
Learning to Describe Solutions for Bug Reports Based on Developer
  Discussions
Learning to Describe Solutions for Bug Reports Based on Developer Discussions
Sheena Panthaplackel
Junjie Li
Miloš Gligorić
Raymond J. Mooney
LMTD
26
10
0
08 Oct 2021
Jointly Learning to Repair Code and Generate Commit Message
Jointly Learning to Repair Code and Generate Commit Message
Jiaqi Bai
Long Zhou
Ambrosio Blanco
Shujie Liu
Furu Wei
Ming Zhou
Zhoujun Li
19
4
0
25 Sep 2021
On the Evaluation of Commit Message Generation Models: An Experimental
  Study
On the Evaluation of Commit Message Generation Models: An Experimental Study
Wei Tao
Yanlin Wang
Ensheng Shi
Lun Du
Shi Han
Hongyu Zhang
Dongmei Zhang
Wenqiang Zhang
19
49
0
12 Jul 2021
Project-Level Encoding for Neural Source Code Summarization of
  Subroutines
Project-Level Encoding for Neural Source Code Summarization of Subroutines
Aakash Bansal
S. Haque
Collin McMillan
14
48
0
22 Mar 2021
Pointing to Subwords for Generating Function Names in Source Code
Pointing to Subwords for Generating Function Names in Source Code
Shogo Fujita
Hidetaka Kamigaito
Hiroya Takamura
Manabu Okumura
19
2
0
09 Nov 2020
CoreGen: Contextualized Code Representation Learning for Commit Message
  Generation
CoreGen: Contextualized Code Representation Learning for Commit Message Generation
L. Nie
Cuiyun Gao
Zhicong Zhong
Wai Lam
Yang Liu
Zenglin Xu
29
46
0
14 Jul 2020
Learning to Update Natural Language Comments Based on Code Changes
Learning to Update Natural Language Comments Based on Code Changes
Sheena Panthaplackel
Pengyu Nie
Miloš Gligorić
Junyi Jessy Li
Raymond J. Mooney
35
63
0
25 Apr 2020
Towards Neural Decompilation
Towards Neural Decompilation
O. Katz
Yuval Olshaker
Yoav Goldberg
Eran Yahav
24
42
0
20 May 2019
Recommendations for Datasets for Source Code Summarization
Recommendations for Datasets for Source Code Summarization
Alexander LeClair
Collin McMillan
15
116
0
04 Apr 2019
StaQC: A Systematically Mined Question-Code Dataset from Stack Overflow
StaQC: A Systematically Mined Question-Code Dataset from Stack Overflow
Ziyu Yao
Daniel S. Weld
Wei-Peng Chen
Huan Sun
11
100
0
26 Mar 2018
Effective Approaches to Attention-based Neural Machine Translation
Effective Approaches to Attention-based Neural Machine Translation
Thang Luong
Hieu H. Pham
Christopher D. Manning
218
7,929
0
17 Aug 2015
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