A large empirical assessment of the role of data balancing in machine-learning-based code smell detection

F Pecorelli, D Di Nucci, C De Roover… - Journal of Systems and …, 2020 - Elsevier
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 …

Toward a smell-aware bug prediction model

F Palomba, M Zanoni, FA Fontana… - IEEE Transactions …, 2017 - ieeexplore.ieee.org
Code smells are symptoms of poor design and implementation choices. Previous studies
empirically assessed the impact of smells on code quality and clearly indicate their negative …

Code smells detection and visualization: a systematic literature review

J Pereira dos Reis, F Brito e Abreu… - … Methods in Engineering, 2022 - Springer
Code smells tend to compromise software quality and also demand more effort by
developers to maintain and evolve the application throughout its life-cycle. They have long …

Notice of retraction: Does refactoring of test smells induce fixing flaky tests?

F Palomba, A Zaidman - 2017 IEEE international conference on …, 2017 - ieeexplore.ieee.org
Notice of Retraction: Does Refactoring of Test Smells Induce Fixing Flaky Tests? Page 1
Document Retracted from IEEE Xplore® It was recommended and agreed upon by the authors …

Predicting code smells and analysis of predictions: using machine learning techniques and software metrics

MY Mhawish, M Gupta - Journal of Computer Science and Technology, 2020 - Springer
Code smell detection is essential to improve software quality, enhancing software
maintainability, and decrease the risk of faults and failures in the software system. In this …

Tracking the software quality of android applications along their evolution (t)

G Hecht, O Benomar, R Rouvoy… - 2015 30th IEEE/ACM …, 2015 - ieeexplore.ieee.org
Mobile apps are becoming complex software systems that must be developed quickly and
evolve continuously to fit new user requirements and execution contexts. However …

[HTML][HTML] On the evaluation of code smells and detection tools

T Paiva, A Damasceno, E Figueiredo… - Journal of Software …, 2017 - Springer
Code smells refer to any symptom in the source code of a program that possibly indicates a
deeper problem, hindering software maintenance and evolution. Detection of code smells is …

How developers perceive smells in source code: A replicated study

D Taibi, A Janes, V Lenarduzzi - Information and Software Technology, 2017 - Elsevier
Context. In recent years, smells, also referred to as bad smells, have gained popularity
among developers. However, it is still not clear how harmful they are perceived from the …

Bad smell detection using machine learning techniques: a systematic literature review

A Al-Shaaby, H Aljamaan, M Alshayeb - Arabian Journal for Science and …, 2020 - Springer
Code smells are indicators of potential problems in software. They tend to have a negative
impact on software quality. Several studies use machine learning techniques to detect bad …

A large-scale empirical study on the lifecycle of code smell co-occurrences

F Palomba, G Bavota, M Di Penta, F Fasano… - Information and …, 2018 - Elsevier
Context Code smells are suboptimal design or implementation choices made by
programmers during the development of a software system that possibly lead to low code …