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Deep Learning for Source Code Modeling and Generation: Models,
  Applications and Challenges

Deep Learning for Source Code Modeling and Generation: Models, Applications and Challenges

13 February 2020
T. H. Le
Hao Chen
Muhammad Ali Babar
    VLM
ArXivPDFHTML

Papers citing "Deep Learning for Source Code Modeling and Generation: Models, Applications and Challenges"

30 / 30 papers shown
Title
Misty: UI Prototyping Through Interactive Conceptual Blending
Misty: UI Prototyping Through Interactive Conceptual Blending
Yuwen Lu
Alan Leung
Amanda Swearngin
Jeffrey Nichols
Titus Barik
26
3
0
20 Sep 2024
SuperCoder2.0: Technical Report on Exploring the feasibility of LLMs as
  Autonomous Programmer
SuperCoder2.0: Technical Report on Exploring the feasibility of LLMs as Autonomous Programmer
Anmol Gautam
Kishore Kumar
Adarsh Jha
Mukunda NS
Ishaan Bhola
59
1
0
17 Sep 2024
Adaptive In-conversation Team Building for Language Model Agents
Adaptive In-conversation Team Building for Language Model Agents
Linxin Song
Jiale Liu
Jieyu Zhang
Shaokun Zhang
Ao Luo
Shijian Wang
Qingyun Wu
Chi Wang
LLMAG
68
10
0
29 May 2024
Are Latent Vulnerabilities Hidden Gems for Software Vulnerability
  Prediction? An Empirical Study
Are Latent Vulnerabilities Hidden Gems for Software Vulnerability Prediction? An Empirical Study
T. H. Le
Xiaoning Du
Muhammad Ali Babar
23
7
0
20 Jan 2024
A Lightweight Framework for High-Quality Code Generation
A Lightweight Framework for High-Quality Code Generation
Mohammed Latif Siddiq
B.K. Casey
Joanna C. S. Santos
38
17
0
17 Jul 2023
Neural Machine Translation for Code Generation
Neural Machine Translation for Code Generation
K. Dharma
Clayton T. Morrison
32
4
0
22 May 2023
ML-driven Hardware Cost Model for MLIR
ML-driven Hardware Cost Model for MLIR
Dibyendu Das
Sandya Mannarswamy
25
0
0
14 Feb 2023
Machine Learning for Software Engineering: A Tertiary Study
Machine Learning for Software Engineering: A Tertiary Study
Zoe Kotti
R. Galanopoulou
D. Spinellis
23
21
0
17 Nov 2022
Execution-based Evaluation for Data Science Code Generation Models
Execution-based Evaluation for Data Science Code Generation Models
Junjie Huang
Chenglong Wang
Jipeng Zhang
Cong Yan
Haotian Cui
J. Inala
Colin B. Clement
Nan Duan
Jianfeng Gao
ELM
33
35
0
17 Nov 2022
MIXCODE: Enhancing Code Classification by Mixup-Based Data Augmentation
MIXCODE: Enhancing Code Classification by Mixup-Based Data Augmentation
Zeming Dong
Qiang Hu
Yuejun Guo
Maxime Cordy
Mike Papadakis
Zhenya Zhang
Yves Le Traon
Jianjun Zhao
25
8
0
06 Oct 2022
T5QL: Taming language models for SQL generation
T5QL: Taming language models for SQL generation
Samuel Arcadinho
David Oliveira Aparício
Hugo Veiga
António Alegria
16
6
0
21 Sep 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
19
0
0
04 Sep 2022
LAMNER: Code Comment Generation Using Character Language Model and Named
  Entity Recognition
LAMNER: Code Comment Generation Using Character Language Model and Named Entity Recognition
Rishab Sharma
Fuxiang Chen
Fatemeh H. Fard
36
2
0
05 Apr 2022
SmartValidator: A Framework for Automatic Identification and
  Classification of Cyber Threat Data
SmartValidator: A Framework for Automatic Identification and Classification of Cyber Threat Data
Chadni Islam
Muhammad Ali Babar
Roland Croft
Helge Janicke
33
19
0
15 Mar 2022
LineVD: Statement-level Vulnerability Detection using Graph Neural
  Networks
LineVD: Statement-level Vulnerability Detection using Graph Neural Networks
David Hin
Andrey Kan
Huaming Chen
M. Babar
26
158
0
10 Mar 2022
Assemble Foundation Models for Automatic Code Summarization
Assemble Foundation Models for Automatic Code Summarization
Jian Gu
P. Salza
H. Gall
28
34
0
13 Jan 2022
Leveraging Unsupervised Learning to Summarize APIs Discussed in Stack
  Overflow
Leveraging Unsupervised Learning to Summarize APIs Discussed in Stack Overflow
AmirHossein Naghshzan
Latifa Guerrouj
Olga Baysal
17
15
0
27 Nov 2021
A Survey on Machine Learning Techniques for Source Code Analysis
A Survey on Machine Learning Techniques for Source Code Analysis
Tushar Sharma
M. Kechagia
Stefanos Georgiou
Rohit Tiwari
Indira Vats
Hadi Moazen
Federica Sarro
25
61
0
18 Oct 2021
Automated Security Assessment for the Internet of Things
Automated Security Assessment for the Internet of Things
Xuanyu Duan
Mengmeng Ge
T. H. Le
Faheem Ullah
Shang Gao
Xuequan Lu
M. Babar
55
19
0
09 Sep 2021
DeepCVA: Automated Commit-level Vulnerability Assessment with Deep
  Multi-task Learning
DeepCVA: Automated Commit-level Vulnerability Assessment with Deep Multi-task Learning
T. H. Le
David Hin
Roland Croft
Muhammad Ali Babar
20
50
0
18 Aug 2021
A Survey on Data-driven Software Vulnerability Assessment and
  Prioritization
A Survey on Data-driven Software Vulnerability Assessment and Prioritization
T. H. Le
Huaming Chen
Muhammad Ali Babar
24
78
0
18 Jul 2021
PSIMiner: A Tool for Mining Rich Abstract Syntax Trees from Code
PSIMiner: A Tool for Mining Rich Abstract Syntax Trees from Code
Egor Spirin
Egor Bogomolov
V. Kovalenko
T. Bryksin
28
15
0
23 Mar 2021
Code Completion by Modeling Flattened Abstract Syntax Trees as Graphs
Code Completion by Modeling Flattened Abstract Syntax Trees as Graphs
Yanlin Wang
Hui Li
10
85
0
17 Mar 2021
Advances in Electron Microscopy with Deep Learning
Advances in Electron Microscopy with Deep Learning
Jeffrey M. Ede
32
2
0
04 Jan 2021
Review: Deep Learning in Electron Microscopy
Review: Deep Learning in Electron Microscopy
Jeffrey M. Ede
29
79
0
17 Sep 2020
Automated Source Code Generation and Auto-completion Using Deep
  Learning: Comparing and Discussing Current Language-Model-Related Approaches
Automated Source Code Generation and Auto-completion Using Deep Learning: Comparing and Discussing Current Language-Model-Related Approaches
Juan Cruz-Benito
Sanjay Vishwakarma
Francisco Martín-Fernández
Ismael Faro Ibm Quantum
22
30
0
16 Sep 2020
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
Six Challenges for Neural Machine Translation
Six Challenges for Neural Machine Translation
Philipp Koehn
Rebecca Knowles
AAML
AIMat
215
1,207
0
12 Jun 2017
Mean teachers are better role models: Weight-averaged consistency
  targets improve semi-supervised deep learning results
Mean teachers are better role models: Weight-averaged consistency targets improve semi-supervised deep learning results
Antti Tarvainen
Harri Valpola
OOD
MoMe
261
1,275
0
06 Mar 2017
Google's Neural Machine Translation System: Bridging the Gap between
  Human and Machine Translation
Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation
Yonghui Wu
M. Schuster
Z. Chen
Quoc V. Le
Mohammad Norouzi
...
Alex Rudnick
Oriol Vinyals
G. Corrado
Macduff Hughes
J. Dean
AIMat
716
6,743
0
26 Sep 2016
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