An empirical study on predictability of software code smell using deep learning models

H Gupta, TG Kulkarni, L Kumar, LBM Neti… - … conference on advanced …, 2021 - Springer
Code Smell, similar to a bad smell, is a surface indication of something tainted but in terms
of software writing practices. This metric is an indication of a deeper problem lies within the …

SSHM: SMOTE-stacked hybrid model for improving severity classification of code smell

J Nanda, JK Chhabra - International Journal of Information Technology, 2022 - Springer
Code Smells are structural characteristics of software that indicate design problems that lead
to less maintainable code. It can be seen as symptom of underlying problems like defects …

Deep learning based code smell detection

H Liu, J Jin, Z Xu, Y Zou, Y Bu… - IEEE transactions on …, 2019 - ieeexplore.ieee.org
Code smells are structures in the source code that suggest the possibility of refactorings.
Consequently, developers may identify refactoring opportunities by detecting code smells …

Machine learning techniques for code smells detection: a systematic mapping study

FL Caram, BRDO Rodrigues… - … Journal of Software …, 2019 - World Scientific
Code smells or bad smells are an accepted approach to identify design flaws in the source
code. Although it has been explored by researchers, the interpretation of programmers is …

Code smell detection using classification approaches

S Dewangan, RS Rao - Intelligent Systems: Proceedings of ICMIB 2021, 2022 - Springer
Code smells combine software features that indicate a code or design-related problem that
can increase the difficulty of the software and make it complicated to recognize, develop …

On the relative value of imbalanced learning for code smell detection

F Li, K Zou, JW Keung, X Yu, S Feng… - Software: Practice and …, 2023 - Wiley Online Library
Machine learning‐based code smell detection (CSD) has been demonstrated to be a
valuable approach for improving software quality and enabling developers to identify …

Comparing and experimenting machine learning techniques for code smell detection

F Arcelli Fontana, MV Mäntylä, M Zanoni… - Empirical Software …, 2016 - Springer
Several code smell detection tools have been developed providing different results,
because smells can be subjectively interpreted, and hence detected, in different ways. In this …

Improving performance with hybrid feature selection and ensemble machine learning techniques for code smell detection

S Jain, A Saha - Science of Computer Programming, 2021 - Elsevier
Maintaining large and complex software is a significant task in IT industry. One reason for
that is the development of code smells which are design flaws that lead to future bugs and …

On the role of data balancing for machine learning-based code smell detection

F Pecorelli, D Di Nucci, C De Roover… - Proceedings of the 3rd …, 2019 - dl.acm.org
Code smells can compromise software quality in the long term by inducing technical debt.
For this reason, many approaches aimed at identifying these design flaws have been …

[HTML][HTML] A study of dealing class imbalance problem with machine learning methods for code smell severity detection using PCA-based feature selection technique

RS Rao, S Dewangan, A Mishra, M Gupta - Scientific Reports, 2023 - nature.com
Detecting code smells may be highly helpful for reducing maintenance costs and raising
source code quality. Code smells facilitate developers or researchers to understand several …