Results 11 to 20 of about 23 (21)

AutoML-Pipeline: A RAG-Enhanced Code Generation Framework With Pre-Validation for Cloud-Native Machine Learning Workflows

IEEE Access
The proliferation of cloud-native machine learning platforms has significantly accelerated model development and deployment cycles. However, constructing and maintaining heterogeneous pipeline code spanning multiple languages (Python, YAML, Spark SQL ...
Wenyu Zhao, Tingjie Chen, Jie Si Yang, Lei Qiu   +3 more
doaj   +1 more source

A Data‐Driven Methodology for Quality Aware Code Fixing

IET Software, Volume 2025, Issue 1, 2025.
In today’s rapidly changing software development landscape, ensuring code quality is essential to reliability, maintainability, and security among other aspects. Identifying code quality issues can be tackled; however, implementing code quality improvements can be a complex and time‐consuming task.
Thomas Karanikiotis, Andreas L. Symeonidis, Manuel Angel Serrano   +2 more
wiley   +1 more source

Advanced Deep Neural Network for Enhancing and Evaluating Programming Performance

Journal of Applied Science and Engineering
With the rapid development of intelligent software engineering and computer science education, automatic programming quality enhancement and quantitative programming performance evaluation have become increasingly critical research directions ...
Yue Wang
doaj   +1 more source

Enhancing source code retrieval with joint Bi-LSTM-GNN architecture: A comparative study with ChatGPT-LLM

Journal of King Saud University: Computer and Information Sciences
Retrieving relevant source code from large repositories is a significant and ongoing challenge in the field of software engineering, primarily due to the vast and ever-expanding amount of available code. Existing deep learning methods, although effective
Nazia Bibi, Ayesha Maqbool, Tauseef Rana
doaj   +1 more source

CODEIPPROMPT: Intellectual Property Infringement Assessment of Code Language Models. [PDF]

Proc Mach Learn Res, 2023
Yu Z, Wu Y, Zhang N, Wang C, Vorobeychik Y, Xiao C.   +5 more
europepmc   +1 more source

Machine learning code snippets semantic classification. [PDF]

PeerJ Comput Sci, 2023
Berezovskiy V, Gorodilova A, Trofimova E, Ustyuzhanin A.   +3 more
europepmc   +1 more source

Natural Language Generation and Understanding of Big Code for AI-Assisted Programming: A Review. [PDF]

Entropy (Basel), 2023
Wong MF, Guo S, Hang CN, Ho SW, Tan CW.
europepmc   +1 more source

Code4ML: a large-scale dataset of annotated Machine Learning code. [PDF]

PeerJ Comput Sci, 2023
Drozdova A, Trofimova E, Guseva P, Scherbakova A, Ustyuzhanin A.   +4 more
europepmc   +1 more source

Hybrid backdoor attacks for deep code models. [PDF]

PLoS One
Geng T.
europepmc   +1 more source

A dataset for human-written and AI-generated code source classification. [PDF]

Data Brief
Boukili G, Garouani SE, Riffi J.
europepmc   +1 more source