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A Survey on Machine Learning Techniques for Source Code Analysis

A Survey on Machine Learning Techniques for Source Code Analysis

18 October 2021
Tushar Sharma
M. Kechagia
Stefanos Georgiou
Rohit Tiwari
Indira Vats
Hadi Moazen
Federica Sarro
ArXivPDFHTML

Papers citing "A Survey on Machine Learning Techniques for Source Code Analysis"

25 / 25 papers shown
Title
Review of Generative AI Methods in Cybersecurity
Review of Generative AI Methods in Cybersecurity
Yagmur Yigit
William J. Buchanan
Madjid G Tehrani
Leandros A. Maglaras
AAML
35
18
0
13 Mar 2024
On the Effectiveness of Machine Learning-based Call Graph Pruning: An
  Empirical Study
On the Effectiveness of Machine Learning-based Call Graph Pruning: An Empirical Study
A. Mir
Mehdi Keshani
Sebastian Proksch
10
1
0
11 Feb 2024
CONCORD: Towards a DSL for Configurable Graph Code Representation
CONCORD: Towards a DSL for Configurable Graph Code Representation
M. Saad
Tushar Sharma
17
2
0
31 Jan 2024
Can You Improve My Code? Optimizing Programs with Local Search
Can You Improve My Code? Optimizing Programs with Local Search
Fatemeh Abdollahi
Saqib Ameen
Matthew E. Taylor
Levi H. S. Lelis
11
0
0
10 Jul 2023
An Exploratory Literature Study on Sharing and Energy Use of Language
  Models for Source Code
An Exploratory Literature Study on Sharing and Energy Use of Language Models for Source Code
Max Hort
Anastasiia Grishina
Leon Moonen
18
2
0
05 Jul 2023
Natural Language Generation and Understanding of Big Code for
  AI-Assisted Programming: A Review
Natural Language Generation and Understanding of Big Code for AI-Assisted Programming: A Review
M. Wong
Shangxin Guo
Ching Nam Hang
Siu-Wai Ho
C. Tan
33
78
0
04 Jul 2023
MPI-rical: Data-Driven MPI Distributed Parallelism Assistance with
  Transformers
MPI-rical: Data-Driven MPI Distributed Parallelism Assistance with Transformers
Nadav Schneider
Tal Kadosh
N. Hasabnis
Tim Mattson
Yuval Pinter
Gal Oren
28
8
0
16 May 2023
The EarlyBIRD Catches the Bug: On Exploiting Early Layers of Encoder
  Models for More Efficient Code Classification
The EarlyBIRD Catches the Bug: On Exploiting Early Layers of Encoder Models for More Efficient Code Classification
Anastasiia Grishina
Max Hort
Leon Moonen
22
6
0
08 May 2023
Smart Learning to Find Dumb Contracts (Extended Version)
Smart Learning to Find Dumb Contracts (Extended Version)
Tamer Abdelaziz
Aquinas Hobor
10
5
0
21 Apr 2023
DACOS-A Manually Annotated Dataset of Code Smells
DACOS-A Manually Annotated Dataset of Code Smells
Himesh Nandani
M. Saad
Tushar Sharma
11
5
0
15 Mar 2023
Large Language Models Meet NL2Code: A Survey
Large Language Models Meet NL2Code: A Survey
Daoguang Zan
B. Chen
Fengji Zhang
Di Lu
Bingchao Wu
Bei Guan
Yongji Wang
Jian-Guang Lou
ELM
ALM
31
167
0
19 Dec 2022
NeuDep: Neural Binary Memory Dependence Analysis
NeuDep: Neural Binary Memory Dependence Analysis
Kexin Pei
Dongdong She
Michael Wang
Scott Geng
Zhou Xuan
Yaniv David
Junfeng Yang
Suman Jana
Baishakhi Ray
19
5
0
04 Oct 2022
Evaluating the Impact of Source Code Parsers on ML4SE Models
Evaluating the Impact of Source Code Parsers on ML4SE Models
I. Utkin
Egor Spirin
Egor Bogomolov
T. Bryksin
ELM
23
7
0
17 Jun 2022
CodeS: Towards Code Model Generalization Under Distribution Shift
CodeS: Towards Code Model Generalization Under Distribution Shift
Qiang Hu
Yuejun Guo
Xiaofei Xie
Maxime Cordy
Lei Ma
Mike Papadakis
Yves Le Traon
OOD
28
10
0
11 Jun 2022
CV4Code: Sourcecode Understanding via Visual Code Representations
CV4Code: Sourcecode Understanding via Visual Code Representations
Ruibo Shi
Lili Tao
Rohan Saphal
Fran Silavong
Sean J. Moran
18
0
0
11 May 2022
Learning to Parallelize in a Shared-Memory Environment with Transformers
Learning to Parallelize in a Shared-Memory Environment with Transformers
Reém Harel
Yuval Pinter
Gal Oren
45
17
0
27 Apr 2022
Follow the Leader: Technical and Inspirational Leadership in Open Source
  Software
Follow the Leader: Technical and Inspirational Leadership in Open Source Software
Jérôme Hergueux
Samuel Kessler
AI4TS
6
5
0
21 Mar 2022
Extracting Label-specific Key Input Features for Neural Code
  Intelligence Models
Extracting Label-specific Key Input Features for Neural Code Intelligence Models
Md Rafiqul Islam Rabin
AAML
40
0
0
14 Feb 2022
Enabling Automatic Repair of Source Code Vulnerabilities Using
  Data-Driven Methods
Enabling Automatic Repair of Source Code Vulnerabilities Using Data-Driven Methods
Anastasiia Grishina
37
7
0
07 Feb 2022
End to End Software Engineering Research
End to End Software Engineering Research
Idan Amit
16
3
0
22 Dec 2021
Code2Snapshot: Using Code Snapshots for Learning Representations of
  Source Code
Code2Snapshot: Using Code Snapshots for Learning Representations of Source Code
Md Rafiqul Islam Rabin
Mohammad Amin Alipour
27
5
0
01 Nov 2021
Memorization and Generalization in Neural Code Intelligence Models
Memorization and Generalization in Neural Code Intelligence Models
Md Rafiqul Islam Rabin
Aftab Hussain
Mohammad Amin Alipour
Vincent J. Hellendoorn
TDI
27
40
0
16 Jun 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
134
233
0
26 Feb 2021
Learning to Represent Programs with Heterogeneous Graphs
Learning to Represent Programs with Heterogeneous Graphs
Kechi Zhang
Wenhan Wang
Huangzhao Zhang
Ge Li
Zhi Jin
GNN
14
63
0
08 Dec 2020
Deep Learning for Source Code Modeling and Generation: Models,
  Applications and Challenges
Deep Learning for Source Code Modeling and Generation: Models, Applications and Challenges
T. H. Le
Hao Chen
Muhammad Ali Babar
VLM
54
152
0
13 Feb 2020
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