[HTML][HTML] The growing cost of deep learning for source code
VJ Hellendoorn, AA Sawant - Communications of the ACM, 2021 - dl.acm.org
The growing cost of deep learning for source code Page 1 JANUARY 2022 | VOL. 65 | NO. 1 |
COMMUNICATIONS OF THE ACM 31 viewpoints IMA GER YB Y OZZ DE SIGN uniquely …
COMMUNICATIONS OF THE ACM 31 viewpoints IMA GER YB Y OZZ DE SIGN uniquely …
Are deep neural networks the best choice for modeling source code?
VJ Hellendoorn, P Devanbu - Proceedings of the 2017 11th Joint …, 2017 - dl.acm.org
Current statistical language modeling techniques, including deep-learning based models,
have proven to be quite effective for source code. We argue here that the special properties …
have proven to be quite effective for source code. We argue here that the special properties …
Deep learning meets software engineering: A survey on pre-trained models of source code
Recent years have seen the successful application of deep learning to software engineering
(SE). In particular, the development and use of pre-trained models of source code has …
(SE). In particular, the development and use of pre-trained models of source code has …
Maybe deep neural networks are the best choice for modeling source code
RM Karampatsis, C Sutton - arXiv preprint arXiv:1903.05734, 2019 - arxiv.org
Statistical language modeling techniques have successfully been applied to source code,
yielding a variety of new software development tools, such as tools for code suggestion and …
yielding a variety of new software development tools, such as tools for code suggestion and …
A deep learning model for source code generation
R Tiwang, T Oladunni, W Xu - 2019 SoutheastCon, 2019 - ieeexplore.ieee.org
Natural Language Processing (NLP) models have been used extensively to study
relationship among words in a corpus. Inspired by models such as n-gram we developed a …
relationship among words in a corpus. Inspired by models such as n-gram we developed a …
Source-Code Generation Using Deep Learning: A Survey
A Ahmed, S Azab, Y Abdelhamid - EPIA Conference on Artificial …, 2023 - Springer
In recent years, the need for writing effective, reusable, and high-quality source code has
grown exponentially. Writing source code is an integral part of building any software system; …
grown exponentially. Writing source code is an integral part of building any software system; …
Boosting source code learning with data augmentation: An empirical study
The next era of program understanding is being propelled by the use of machine learning to
solve software problems. Recent studies have shown surprising results of source code …
solve software problems. Recent studies have shown surprising results of source code …
The codrep machine learning on source code competition
Z Chen, M Monperrus - arXiv preprint arXiv:1807.03200, 2018 - arxiv.org
CodRep is a machine learning competition on source code data. It is carefully designed so
that anybody can enter the competition, whether professional researchers, students or …
that anybody can enter the competition, whether professional researchers, students or …
[HTML][HTML] A survey on machine learning techniques applied to source code
The advancements in machine learning techniques have encouraged researchers to apply
these techniques to a myriad of software engineering tasks that use source code analysis …
these techniques to a myriad of software engineering tasks that use source code analysis …
Secrets in source code: Reducing false positives using machine learning
Private and public git repositories often contain unintentional sensitive information in the
source code. Many tools have been developed to scan repositories looking for potential …
source code. Many tools have been developed to scan repositories looking for potential …