Improving the quality of open source software

S Kaur, S Singh - Agile Software Development: Trends …, 2023 - Wiley Online Library
This study aims at development of generating metrics based code smells prediction to
improve the software quality assurance by working at preventive maintenance level. In order …

Detecting code smells using industry-relevant data

L Madeyski, T Lewowski - Information and Software Technology, 2023 - Elsevier
Context Code smells are patterns in source code associated with an increased defect rate
and a higher maintenance effort than usual, but without a clear definition. Code smells are …

Code smells detection using artificial intelligence techniques: A business-driven systematic review

T Lewowski, L Madeyski - … in Information & Knowledge Management for …, 2022 - Springer
Context Code smells in the software systems are indications that usually correspond to
deeper problems that can negatively influence software quality characteristics. This review is …

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 …

ml-Codesmell: A code smell prediction dataset for machine learning approaches

B Nguyen Thanh, M Nguyen NH, H Le Thi My… - Proceedings of the 11th …, 2022 - dl.acm.org
In recent years, many studies on detecting code smells in source code have published
datasets with limited characteristics, such as the ambiguity of code smell definitions leads to …

A severity-based classification assessment of code smells in Kotlin and Java application

A Gupta, NK Chauhan - Arabian Journal for Science and Engineering, 2022 - Springer
Code smells instigate due to the consistent adoption of bad programming and
implementation styles during the evolution of the software which adversely affects the …

Applying machine learning to customized smell detection: a multi-project study

D Oliveira, WKG Assunção, L Souza, W Oizumi… - Proceedings of the …, 2020 - dl.acm.org
Code smells are considered symptoms of poor implementation choices, which may hamper
the software maintainability. Hence, code smells should be detected as early as possible to …

Code smell detection using feature selection and stacking ensemble: An empirical investigation

A Alazba, H Aljamaan - Information and Software Technology, 2021 - Elsevier
Context: Code smell detection is the process of identifying code pieces that are poorly
designed and implemented. Recently more research has been directed towards machine …

A hybrid approach to identify code smell using machine learning algorithms

A Patnaik, N Padhy - International Journal of Open Source Software …, 2021 - igi-global.com
Code smell aims to identify bugs that occurred during software development. It is the task of
identifying design problems. The significant causes of code smell are complexity in code …

Developer-driven code smell prioritization

F Pecorelli, F Palomba, F Khomh… - Proceedings of the 17th …, 2020 - dl.acm.org
Code smells are symptoms of poor implementation choices applied during software
evolution. While previous research has devoted effort in the definition of automated solutions …