Mining version histories for detecting code smells

F Palomba, G Bavota, M Di Penta… - IEEE Transactions …, 2014 - ieeexplore.ieee.org
Code smells are symptoms of poor design and implementation choices that may hinder
code comprehension, and possibly increase changeand fault-proneness. While most of the …

Detecting bad smells in source code using change history information

F Palomba, G Bavota, M Di Penta… - 2013 28th IEEE/ACM …, 2013 - ieeexplore.ieee.org
Code smells represent symptoms of poor implementation choices. Previous studies found
that these smells make source code more difficult to maintain, possibly also increasing its …

The scent of a smell: An extensive comparison between textual and structural smells

F Palomba, A Panichella, A Zaidman… - Proceedings of the 40th …, 2018 - dl.acm.org
Code smells, ie, symptoms of poor design and implementation choices applied by
programmers during the development of a software project [2], represent an important factor …

Machine learning techniques for code smell detection: A systematic literature review and meta-analysis

MI Azeem, F Palomba, L Shi, Q Wang - Information and Software …, 2019 - Elsevier
Background: Code smells indicate suboptimal design or implementation choices in the
source code that often lead it to be more change-and fault-prone. Researchers defined …

[PDF][PDF] Automatic detection of bad smells in code: An experimental assessment.

FA Fontana, P Braione, M Zanoni - J. Object Technol., 2012 - researchgate.net
Code smells are structural characteristics of software that may indicate a code or design
problem that makes software hard to evolve and maintain, and may trigger refactoring of …

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 …

Landfill: An open dataset of code smells with public evaluation

F Palomba, D Di Nucci, M Tufano… - 2015 IEEE/ACM 12th …, 2015 - ieeexplore.ieee.org
Code smells are symptoms of poor design and implementation choices that may hinder
code comprehension and possibly increase change-and fault-proneness of source code …

[HTML][HTML] How far are we from reproducible research on code smell detection? A systematic literature review

T Lewowski, L Madeyski - Information and Software Technology, 2022 - Elsevier
Context: Code smells are symptoms of wrong design decisions or coding shortcuts that may
increase defect rate and decrease maintainability. Research on code smells is accelerating …

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 …

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 …