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A systematic literature review on the applications of recurrent neural networks in code clone research
FH Quradaa, S Shahzad, RS Almoqbily - Plos one, 2024 - journals.plos.org
Code clones, referring to code fragments that are either similar or identical and are copied
and pasted within software systems, have negative effects on both software quality and …
and pasted within software systems, have negative effects on both software quality and …
Data preparation for deep learning based code smell detection: A systematic literature review
Abstract Code Smell Detection (CSD) plays a crucial role in improving software quality and
maintainability. And Deep Learning (DL) techniques have emerged as a promising …
maintainability. And Deep Learning (DL) techniques have emerged as a promising …
CoRT: transformer-based code representations with self-supervision by predicting reserved words for code smell detection
Context Code smell detection is the process of identifying poorly designed and implemented
code pieces. Machine learning-based approaches require enormous amounts of manually …
code pieces. Machine learning-based approaches require enormous amounts of manually …
Enhancing quality 4.0 and reducing costs in lot-release process with machine learning-based complaint prediction
Purpose This study proposes a machine learning framework to predict customer complaints
from production line tests in an automotive company's lot-release process, enhancing …
from production line tests in an automotive company's lot-release process, enhancing …
A survey of deep learning based software refactoring
Dynamic stacking ensemble for cross-language code smell detection
H Aljamaan - PeerJ Computer Science, 2024 - peerj.com
Code smells refer to poor design and implementation choices by software engineers that
might affect the overall software quality. Code smells detection using machine learning …
might affect the overall software quality. Code smells detection using machine learning …