A systematic literature review on bad smells–5 w's: which, when, what, who, where

EV de Paulo Sobrinho, A De Lucia… - IEEE Transactions …, 2018 - ieeexplore.ieee.org
Bad smells are sub-optimal code structures that may represent problems needing attention.
We conduct an extensive literature review on bad smells relying on a large body of …

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 …

When and why your code starts to smell bad

M Tufano, F Palomba, G Bavota… - 2015 IEEE/ACM 37th …, 2015 - ieeexplore.ieee.org
In past and recent years, the issues related to managing technical debt received significant
attention by researchers from both industry and academia. There are several factors that …

When and why your code starts to smell bad (and whether the smells go away)

M Tufano, F Palomba, G Bavota… - IEEE Transactions …, 2017 - ieeexplore.ieee.org
Technical debt is a metaphor introduced by Cunningham to indicate “not quite right code
which we postpone making it right”. One noticeable symptom of technical debt is …

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 …

An experimental investigation on the innate relationship between quality and refactoring

G Bavota, A De Lucia, M Di Penta, R Oliveto… - Journal of Systems and …, 2015 - Elsevier
Previous studies have investigated the reasons behind refactoring operations performed by
developers, and proposed methods and tools to recommend refactorings based on quality …

Some code smells have a significant but small effect on faults

T Hall, M Zhang, D Bowes, Y Sun - ACM Transactions on Software …, 2014 - dl.acm.org
We investigate the relationship between faults and five of Fowler et al.'s least-studied smells
in code: Data Clumps, Switch Statements, Speculative Generality, Message Chains, and …

A textual-based technique for smell detection

F Palomba, A Panichella, A De Lucia… - 2016 IEEE 24th …, 2016 - ieeexplore.ieee.org
In this paper, we present TACO (Textual Analysis for Code Smell Detection), a technique
that exploits textual analysis to detect a family of smells of different nature and different …

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 …

[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 …