ResearchTrend.AI
  • Communities
  • Connect sessions
  • AI calendar
  • Organizations
  • Join Slack
  • Contact Sales
Papers
Communities
Social Events
Terms and Conditions
Pricing
Contact Sales
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2026 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1709.06182
  4. Cited By
A Survey of Machine Learning for Big Code and Naturalness
v1v2 (latest)

A Survey of Machine Learning for Big Code and Naturalness

18 September 2017
Miltiadis Allamanis
Earl T. Barr
Premkumar T. Devanbu
Charles Sutton
ArXiv (abs)PDFHTML

Papers citing "A Survey of Machine Learning for Big Code and Naturalness"

48 / 298 papers shown
TreeCaps: Tree-Structured Capsule Networks for Program Source Code
  Processing
TreeCaps: Tree-Structured Capsule Networks for Program Source Code Processing
Vinoj Jayasundara
Nghi D. Q. Bui
Lingxiao Jiang
David Lo
108
18
0
27 Oct 2019
Machine Translation from Natural Language to Code using Long-Short Term
  Memory
Machine Translation from Natural Language to Code using Long-Short Term MemoryAdvances in Intelligent Systems and Computing (AISC), 2019
K. M. T. H. Rahit
Rashidul Hasan Nabil
Md Hasibul Huq
69
13
0
25 Oct 2019
IdBench: Evaluating Semantic Representations of Identifier Names in
  Source Code
IdBench: Evaluating Semantic Representations of Identifier Names in Source Code
Yaza Wainakh
Moiz Rauf
Michael Pradel
182
5
0
11 Oct 2019
Do People Prefer "Natural" code?
Do People Prefer "Natural" code?
Casey Casalnuovo
Kevin Lee
Hulin Wang
Premkumar T. Devanbu
Emily Morgan
54
6
0
08 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
375
1,279
0
20 Sep 2019
IR2Vec: LLVM IR based Scalable Program Embeddings
IR2Vec: LLVM IR based Scalable Program Embeddings
Venkata Keerthy
Rohit Aggarwal
Shalini Jain
Maunendra Sankar
Ramakrishna Upadrasta
Desarkar
185
10
0
13 Sep 2019
Targeted Example Generation for Compilation Errors
Targeted Example Generation for Compilation ErrorsInternational Conference on Automated Software Engineering (ASE), 2019
Umair Z. Ahmed
Prerna Agarwal
Nisheeth Srivastava
Amey Karkare
155
32
0
02 Sep 2019
Unsupervised Construction of Knowledge Graphs From Text and Code
Unsupervised Construction of Knowledge Graphs From Text and Code
Kun Cao
James P. Fairbanks
122
10
0
25 Aug 2019
Learning the Relation between Code Features and Code Transforms with
  Structured Prediction
Learning the Relation between Code Features and Code Transforms with Structured PredictionIEEE Transactions on Software Engineering (TSE), 2019
Zhongxing Yu
Matias Martinez
Zimin Chen
Tegawende F. Bissyande
Monperrus Martin
209
14
0
22 Jul 2019
SampleFix: Learning to Generate Functionally Diverse Fixes
SampleFix: Learning to Generate Functionally Diverse Fixes
Hossein Hajipour
Apratim Bhattacharyya
Cristian-Alexandru Staicu
Mario Fritz
245
6
0
24 Jun 2019
ENCORE: Ensemble Learning using Convolution Neural Machine Translation
  for Automatic Program Repair
ENCORE: Ensemble Learning using Convolution Neural Machine Translation for Automatic Program Repair
Thibaud Lutellier
L. Pang
H. Pham
Moshi Wei
Lin Tan
121
21
0
20 Jun 2019
Learning Execution through Neural Code Fusion
Learning Execution through Neural Code FusionInternational Conference on Learning Representations (ICLR), 2019
Zhan Shi
Kevin Swersky
Daniel Tarlow
Parthasarathy Ranganathan
Milad Hashemi
GNN
168
30
0
17 Jun 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
98
29
0
10 Jun 2019
A Language-Agnostic Model for Semantic Source Code Labeling
A Language-Agnostic Model for Semantic Source Code Labeling
Ben U. Gelman
B. Hoyle
Jessica Moore
Joshua Saxe
David Slater
141
9
0
03 Jun 2019
Neural Bug Finding: A Study of Opportunities and Challenges
Neural Bug Finding: A Study of Opportunities and Challenges
Andrew Habib
Michael Pradel
112
18
0
01 Jun 2019
Deep Learning for Bug-Localization in Student Programs
Deep Learning for Bug-Localization in Student Programs
Rahul Gupta
Aditya Kanade
S. Shevade
110
4
0
28 May 2019
Inferring Javascript types using Graph Neural Networks
Inferring Javascript types using Graph Neural Networks
Jessica Schrouff
Kai Wohlfahrt
Bruno Marnette
Liam Atkinson
NAIGNN
103
7
0
16 May 2019
Identifying collaborators in large codebases
Identifying collaborators in large codebases
Waren Long
Vadim Markovtsev
Hugo Mougard
Egor Bulychev
Jan Hula
62
0
0
07 May 2019
Enabling Open-World Specification Mining via Unsupervised Learning
Enabling Open-World Specification Mining via Unsupervised Learning
Jordan Henkel
Shuvendu K. Lahiri
B. Liblit
Thomas W. Reps
83
1
0
27 Apr 2019
Neural Networks for Modeling Source Code Edits
Neural Networks for Modeling Source Code Edits
Rui Zhao
David Bieber
Kevin Swersky
Daniel Tarlow
171
12
0
04 Apr 2019
Modeling Vocabulary for Big Code Machine Learning
Modeling Vocabulary for Big Code Machine Learning
Hlib Babii
Andrea Janes
Romain Robbes
137
22
0
03 Apr 2019
A Convolutional Neural Network for Language-Agnostic Source Code
  Summarization
A Convolutional Neural Network for Language-Agnostic Source Code Summarization
Jessica Moore
Ben U. Gelman
David Slater
117
21
0
29 Mar 2019
Import2vec - Learning Embeddings for Software Libraries
Import2vec - Learning Embeddings for Software Libraries
B. Theeten
Frederik Vandeputte
Tom Van Cutsem
SSL
92
34
0
27 Mar 2019
Toward Imitating Visual Attention of Experts in Software Development
  Tasks
Toward Imitating Visual Attention of Experts in Software Development Tasks
Yoshiharu Ikutani
Nishanth Koganti
Hideaki Hata
Takatomi Kubo
Ken-ichi Matsumoto
109
2
0
15 Mar 2019
Maybe Deep Neural Networks are the Best Choice for Modeling Source Code
Maybe Deep Neural Networks are the Best Choice for Modeling Source Code
Rafael-Michael Karampatsis
Charles Sutton
182
56
0
13 Mar 2019
CoaCor: Code Annotation for Code Retrieval with Reinforcement Learning
CoaCor: Code Annotation for Code Retrieval with Reinforcement Learning
Ziyu Yao
Jayavardhan Reddy Peddamail
Huan Sun
154
104
0
13 Mar 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
105
12
0
09 Mar 2019
A Manually-Curated Dataset of Fixes to Vulnerabilities of Open-Source
  Software
A Manually-Curated Dataset of Fixes to Vulnerabilities of Open-Source Software
Serena Elisa Ponta
H. Plate
A. Sabetta
M. Bezzi
Cédric Dangremont
270
139
0
07 Feb 2019
Towards effective AI-powered agile project management
Towards effective AI-powered agile project management
K. Dam
T. Tran
J. Grundy
A. Ghose
Yasutaka Kamei
88
72
0
27 Dec 2018
SequenceR: Sequence-to-Sequence Learning for End-to-End Program Repair
SequenceR: Sequence-to-Sequence Learning for End-to-End Program Repair
Zimin Chen
Steve Kommrusch
Michele Tufano
L. Pouchet
Denys Poshyvanyk
Monperrus Martin
KELM
393
493
0
24 Dec 2018
The Adverse Effects of Code Duplication in Machine Learning Models of
  Code
The Adverse Effects of Code Duplication in Machine Learning Models of Code
Miltiadis Allamanis
379
339
0
16 Dec 2018
Open Vocabulary Learning on Source Code with a Graph-Structured Cache
Open Vocabulary Learning on Source Code with a Graph-Structured Cache
Milan Cvitkovic
Badal Singh
Anima Anandkumar
165
50
0
18 Oct 2018
Neural-Augmented Static Analysis of Android Communication
Neural-Augmented Static Analysis of Android Communication
Jinman Zhao
Aws Albarghouthi
Vaibhav Rastogi
S. Jha
Damien Octeau
HAI
133
22
0
11 Sep 2018
Towards security defect prediction with AI
Towards security defect prediction with AI
Carson D. Sestili
William Snavely
Nathan M. VanHoudnos
156
47
0
29 Aug 2018
Teaching machines to understand data science code by semantic enrichment
  of dataflow graphs
Teaching machines to understand data science code by semantic enrichment of dataflow graphs
Evan Patterson
Ioana Baldini
Aleksandra Mojsilović
Kush R. Varshney
167
13
0
16 Jul 2018
Automated Vulnerability Detection in Source Code Using Deep
  Representation Learning
Automated Vulnerability Detection in Source Code Using Deep Representation Learning
Rebecca L. Russell
Louis Y. Kim
Lei H. Hamilton
Tomo Lazovich
Jacob A. Harer
Onur Ozdemir
Paul M. Ellingwood
M. McConley
186
635
0
11 Jul 2018
A Practical Approach to the Automatic Classification of
  Security-Relevant Commits
A Practical Approach to the Automatic Classification of Security-Relevant CommitsIEEE International Conference on Software Maintenance and Evolution (ICSME), 2018
A. Sabetta
M. Bezzi
93
78
0
06 Jul 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
232
270
0
19 Jun 2018
Studying the Difference Between Natural and Programming Language Corpora
Studying the Difference Between Natural and Programming Language Corpora
Casey Casalnuovo
Kenji Sagae
Premkumar T. Devanbu
143
38
0
06 Jun 2018
Adapting Neural Text Classification for Improved Software Categorization
Adapting Neural Text Classification for Improved Software Categorization
Alexander LeClair
Zachary Eberhart
Collin McMillan
179
37
0
05 Jun 2018
Generative Code Modeling with Graphs
Generative Code Modeling with Graphs
Marc Brockschmidt
Miltiadis Allamanis
Alexander L. Gaunt
Oleksandr Polozov
222
189
0
22 May 2018
Building Language Models for Text with Named Entities
Building Language Models for Text with Named Entities
Md. Rizwan Parvez
Saikat Chakraborty
Baishakhi Ray
Kai-Wei Chang
176
44
0
13 May 2018
Machine Learning in Compiler Optimisation
Machine Learning in Compiler Optimisation
Zheng Wang
Michael F. P. O'Boyle
VLM
131
79
0
09 May 2018
code2vec: Learning Distributed Representations of Code
code2vec: Learning Distributed Representations of Code
Uri Alon
Meital Zilberstein
Omer Levy
Eran Yahav
281
1,270
0
26 Mar 2018
Polyglot Semantic Parsing in APIs
Polyglot Semantic Parsing in APIs
Kyle Richardson
Jonathan Berant
Jonas Kuhn
240
13
0
19 Mar 2018
Automated software vulnerability detection with machine learning
Automated software vulnerability detection with machine learning
Jacob A. Harer
Louis Y. Kim
Rebecca L. Russell
Onur Ozdemir
Leonard Kosta
...
Alan Mackay
M. McConley
J. M. Opper
Peter Chin
Tomo Lazovich
196
186
0
14 Feb 2018
Tree-to-tree Neural Networks for Program Translation
Tree-to-tree Neural Networks for Program Translation
Xinyun Chen
Chang-rui Liu
Basel Alomair
164
310
0
11 Feb 2018
Learning to Represent Programs with Graphs
Learning to Represent Programs with Graphs
Miltiadis Allamanis
Marc Brockschmidt
Mahmoud Khademi
GNNNAI
301
864
0
01 Nov 2017
Previous
123456