Improving accuracy of code smells detection using machine learning with data balancing techniques

NAA Khleel, K Nehéz - The Journal of Supercomputing, 2024 - Springer
Code smells indicate potential symptoms or problems in software due to inefficient design or
incomplete implementation. These problems can affect software quality in the long-term …

A Survey of Deep Learning Based Software Refactoring

B Nyirongo, Y Jiang, H Jiang, H Liu - arXiv preprint arXiv:2404.19226, 2024 - arxiv.org
Refactoring is one of the most important activities in software engineering which is used to
improve the quality of a software system. With the advancement of deep learning …

Prompt Learning for Multi-Label Code Smell Detection: A Promising Approach

H Liu, Y Zhang, V Saikrishna, Q Tian… - arXiv preprint arXiv …, 2024 - arxiv.org
Code smells indicate the potential problems of software quality so that developers can
identify refactoring opportunities by detecting code smells. State-of-the-art approaches …

[PDF][PDF] RAJOITUKSET KOODIHAJUJEN TUNNISTAMISESSA

S Valkama - trepo.tuni.fi
Ohjelmat ovat nykypäivänä aiempaa laajempia koodimäärässä mitattuna, ja tekniikoiden ja
työkalujen kehityksen ansiosta koodin tuottamisen tehokkuus on myös kasvanut. Ohjelmien …