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 …

Comparing and experimenting machine learning techniques for code smell detection

F Arcelli Fontana, MV Mäntylä, M Zanoni… - Empirical Software …, 2016 - Springer
Several code smell detection tools have been developed providing different results,
because smells can be subjectively interpreted, and hence detected, in different ways. In this …

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 …

Many-objective software remodularization using NSGA-III

W Mkaouer, M Kessentini, A Shaout… - ACM Transactions on …, 2015 - dl.acm.org
Software systems nowadays are complex and difficult to maintain due to continuous
changes and bad design choices. To handle the complexity of systems, software products …

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 …

Do they really smell bad? a study on developers' perception of bad code smells

F Palomba, G Bavota, M Di Penta… - 2014 IEEE …, 2014 - ieeexplore.ieee.org
In the last decade several catalogues have been defined to characterize bad code smells,
ie, symptoms of poor design and implementation choices. On top of such catalogues …

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 …

An empirical investigation into the nature of test smells

M Tufano, F Palomba, G Bavota, M Di Penta… - Proceedings of the 31st …, 2016 - dl.acm.org
Test smells have been defined as poorly designed tests and, as reported by recent empirical
studies, their presence may negatively affect comprehension and maintenance of test suites …