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Deep API Learning

Deep API Learning

27 May 2016
Xiaodong Gu
Hongyu Zhang
Dongmei Zhang
Sunghun Kim
    AIMat
    HAI
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Papers citing "Deep API Learning"

32 / 32 papers shown
Title
Compositional API Recommendation for Library-Oriented Code Generation
Compositional API Recommendation for Library-Oriented Code Generation
Zexiong Ma
Shengnan An
Bing Xie
Zeqi Lin
42
17
0
29 Feb 2024
Deep Learning for Code Intelligence: Survey, Benchmark and Toolkit
Deep Learning for Code Intelligence: Survey, Benchmark and Toolkit
Yao Wan
Yang He
Zhangqian Bi
Jianguo Zhang
Hongyu Zhang
Yulei Sui
Guandong Xu
Hai Jin
Philip S. Yu
40
20
0
30 Dec 2023
GitHub Considered Harmful? Analyzing Open-Source Projects for the
  Automatic Generation of Cryptographic API Call Sequences
GitHub Considered Harmful? Analyzing Open-Source Projects for the Automatic Generation of Cryptographic API Call Sequences
Catherine Tony
Nicolás E. Díaz Ferreyra
Riccardo Scandariato
19
4
0
24 Nov 2022
Towards Top-Down Automated Development in Limited Scopes: A
  Neuro-Symbolic Framework from Expressibles to Executables
Towards Top-Down Automated Development in Limited Scopes: A Neuro-Symbolic Framework from Expressibles to Executables
Jian Gu
H. Gall
24
0
0
04 Sep 2022
Test2Vec: An Execution Trace Embedding for Test Case Prioritization
Test2Vec: An Execution Trace Embedding for Test Case Prioritization
E. Jabbar
Soheila Zangeneh
Hadi Hemmati
R. Feldt
48
5
0
28 Jun 2022
Code Search based on Context-aware Code Translation
Code Search based on Context-aware Code Translation
Weisong Sun
Chunrong Fang
Yuchen Chen
Guanhong Tao
Ting Han
Quanjun Zhang
47
50
0
16 Feb 2022
Cross-Language Binary-Source Code Matching with Intermediate
  Representations
Cross-Language Binary-Source Code Matching with Intermediate Representations
Yi Gui
Yao Wan
Hongyu Zhang
Huifang Huang
Yulei Sui
Guandong Xu
Zhiyuan Shao
Hai Jin
27
31
0
19 Jan 2022
FACOS: Finding API Relevant Contents on Stack Overflow with Semantic and
  Syntactic Analysis
FACOS: Finding API Relevant Contents on Stack Overflow with Semantic and Syntactic Analysis
K. Luong
M. Hadi
Ferdian Thung
Fatemeh H. Fard
David Lo
22
4
0
14 Nov 2021
GraphSearchNet: Enhancing GNNs via Capturing Global Dependencies for
  Semantic Code Search
GraphSearchNet: Enhancing GNNs via Capturing Global Dependencies for Semantic Code Search
Shangqing Liu
Xiaofei Xie
J. Siow
Lei Ma
Guozhu Meng
Yang Liu
GNN
25
53
0
04 Nov 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
9
49
0
12 Jul 2021
Toward Less Hidden Cost of Code Completion with Acceptance and Ranking
  Models
Toward Less Hidden Cost of Code Completion with Acceptance and Ranking Models
Jingxuan Li
Rui Huang
Wei Li
Kai-Lang Yao
Weiguo Tan
27
14
0
26 Jun 2021
Understanding Neural Code Intelligence Through Program Simplification
Understanding Neural Code Intelligence Through Program Simplification
Md Rafiqul Islam Rabin
Vincent J. Hellendoorn
Mohammad Amin Alipour
AAML
49
58
0
07 Jun 2021
Retrieve and Refine: Exemplar-based Neural Comment Generation
Retrieve and Refine: Exemplar-based Neural Comment Generation
Bolin Wei
Yongming Li
Ge Li
Xin Xia
Zhi Jin
25
39
0
09 Oct 2020
A Systematic Literature Review on the Use of Deep Learning in Software
  Engineering Research
A Systematic Literature Review on the Use of Deep Learning in Software Engineering Research
Cody Watson
Nathan Cooper
David Nader-Palacio
Kevin Moran
Denys Poshyvanyk
26
111
0
14 Sep 2020
JuICe: A Large Scale Distantly Supervised Dataset for Open Domain
  Context-based Code Generation
JuICe: A Large Scale Distantly Supervised Dataset for Open Domain Context-based Code Generation
R. Agashe
R. Campello
Arthur Zimek
36
83
0
05 Oct 2019
CodeSearchNet Challenge: Evaluating the State of Semantic Code Search
CodeSearchNet Challenge: Evaluating the State of Semantic Code Search
Hamel Husain
Hongqiu Wu
Tiferet Gazit
Miltiadis Allamanis
Marc Brockschmidt
ELM
81
1,049
0
20 Sep 2019
SAR: Learning Cross-Language API Mappings with Little Knowledge
SAR: Learning Cross-Language API Mappings with Little Knowledge
Nghi D. Q. Bui
Y. Yu
Lingxiao Jiang
28
28
0
10 Jun 2019
A Literature Study of Embeddings on Source Code
A Literature Study of Embeddings on Source Code
Zimin Chen
Monperrus Martin
49
82
0
05 Apr 2019
Program Classification Using Gated Graph Attention Neural Network for
  Online Programming Service
Program Classification Using Gated Graph Attention Neural Network for Online Programming Service
Mingming Lu
Dingwu Tan
N. Xiong
Zailiang Chen
Haifeng Li
15
11
0
09 Mar 2019
CodeGRU: Context-aware Deep Learning with Gated Recurrent Unit for
  Source Code Modeling
CodeGRU: Context-aware Deep Learning with Gated Recurrent Unit for Source Code Modeling
Yasir Hussain
Zhiqiu Huang
Yu Zhou
Senzhang Wang
13
32
0
03 Mar 2019
On Learning Meaningful Code Changes via Neural Machine Translation
On Learning Meaningful Code Changes via Neural Machine Translation
Michele Tufano
Jevgenija Pantiuchina
Cody Watson
Gabriele Bavota
Denys Poshyvanyk
19
203
0
25 Jan 2019
V-Fuzz: Vulnerability-Oriented Evolutionary Fuzzing
V-Fuzz: Vulnerability-Oriented Evolutionary Fuzzing
Yuwei Li
S. Ji
Chenyang Lv
Yuan Chen
Jianhai Chen
Qinchen Gu
Chunming Wu
22
49
0
04 Jan 2019
Improving Automatic Source Code Summarization via Deep Reinforcement
  Learning
Improving Automatic Source Code Summarization via Deep Reinforcement Learning
Yao Wan
Zhou Zhao
Min Yang
Guandong Xu
Haochao Ying
Jian Wu
Philip S. Yu
27
381
0
17 Nov 2018
Neural Code Comprehension: A Learnable Representation of Code Semantics
Neural Code Comprehension: A Learnable Representation of Code Semantics
Tal Ben-Nun
Alice Shoshana Jakobovits
Torsten Hoefler
18
239
0
19 Jun 2018
Machine Learning in Compiler Optimisation
Machine Learning in Compiler Optimisation
Zheng Wang
Michael F. P. O'Boyle
VLM
22
77
0
09 May 2018
Hierarchical Learning of Cross-Language Mappings through Distributed
  Vector Representations for Code
Hierarchical Learning of Cross-Language Mappings through Distributed Vector Representations for Code
Nghi D. Q. Bui
Lingxiao Jiang
34
16
0
13 Mar 2018
500+ Times Faster Than Deep Learning (A Case Study Exploring Faster
  Methods for Text Mining StackOverflow)
500+ Times Faster Than Deep Learning (A Case Study Exploring Faster Methods for Text Mining StackOverflow)
Suvodeep Majumder
N. Balaji
Katie Brey
Wei Fu
Tim Menzies
12
77
0
14 Feb 2018
Connecting Software Metrics across Versions to Predict Defects
Connecting Software Metrics across Versions to Predict Defects
Yibin Liu
Yanhui Li
Jianbo Guo
Yuming Zhou
Baowen Xu
16
36
0
28 Dec 2017
DeepAM: Migrate APIs with Multi-modal Sequence to Sequence Learning
DeepAM: Migrate APIs with Multi-modal Sequence to Sequence Learning
Xiaodong Gu
Hongyu Zhang
Dongmei Zhang
Sunghun Kim
28
72
0
25 Apr 2017
A Neural Architecture for Generating Natural Language Descriptions from
  Source Code Changes
A Neural Architecture for Generating Natural Language Descriptions from Source Code Changes
Pablo Loyola
Edison Marrese-Taylor
Y. Matsuo
14
120
0
17 Apr 2017
Easy over Hard: A Case Study on Deep Learning
Easy over Hard: A Case Study on Deep Learning
Wei Fu
Tim Menzies
20
196
0
01 Mar 2017
A deep learning model for estimating story points
A deep learning model for estimating story points
Morakot Choetkiertikul
Hoa Dam
T. Tran
Trang Pham
A. Ghose
Tim Menzies
21
170
0
02 Sep 2016
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