A systematic literature review on the code smells datasets and validation mechanisms
M Zakeri-Nasrabadi, S Parsa, E Esmaili… - ACM Computing …, 2023 - dl.acm.org
The accuracy reported for code smell-detecting tools varies depending on the dataset used
to evaluate the tools. Our survey of 45 existing datasets reveals that the adequacy of a …
to evaluate the tools. Our survey of 45 existing datasets reveals that the adequacy of a …
On the role of data balancing for machine learning-based code smell detection
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 …
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
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 …
For this reason, many approaches aimed at identifying these design flaws have been …
To what extent can maintenance problems be predicted by code smell detection?–An empirical study
A Yamashita, L Moonen - Information and Software Technology, 2013 - Elsevier
Context Code smells are indicators of poor coding and design choices that can cause
problems during software maintenance and evolution. Objective This study is aimed at a …
problems during software maintenance and evolution. Objective This study is aimed at a …
Experience report: Evaluating the effectiveness of decision trees for detecting code smells
Developers continuously maintain software systems to adapt to new requirements and to fix
bugs. Due to the complexity of maintenance tasks and the time-to-market, developers make …
bugs. Due to the complexity of maintenance tasks and the time-to-market, developers make …
Detecting bad smells in source code using change history information
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 …
that these smells make source code more difficult to maintain, possibly also increasing its …
[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 …
increase defect rate and decrease maintainability. Research on code smells is accelerating …
Code bad smells: a review of current knowledge
M Zhang, T Hall, N Baddoo - Journal of Software Maintenance …, 2011 - Wiley Online Library
Fowler et al. identified 22 Code Bad Smells to direct the effective refactoring of code. These
are increasingly being taken up by software engineers. However, the empirical basis of …
are increasingly being taken up by software engineers. However, the empirical basis of …
Mining version histories for detecting code smells
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 …
code comprehension, and possibly increase changeand fault-proneness. While most of the …
Code smell severity classification using machine learning techniques
FA Fontana, M Zanoni - Knowledge-Based Systems, 2017 - Elsevier
Several code smells detection tools have been developed providing different results,
because smells can be subjectively interpreted and hence detected in different ways …
because smells can be subjectively interpreted and hence detected in different ways …