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 …

Code smells and refactoring: A tertiary systematic review of challenges and observations

G Lacerda, F Petrillo, M Pimenta… - Journal of Systems and …, 2020 - Elsevier
Refactoring and smells have been well researched by the software-engineering research
community these past decades. Several secondary studies have been published on code …

On the diffuseness and the impact on maintainability of code smells: a large scale empirical investigation

F Palomba, G Bavota, M Di Penta, F Fasano… - Proceedings of the 40th …, 2018 - dl.acm.org
Code smells were defined as symptoms of poor design choices applied by programmers
during the development of a software project [2]. They might hinder the comprehensibility …

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 …

Detecting code smells using machine learning techniques: Are we there yet?

D Di Nucci, F Palomba, DA Tamburri… - 2018 ieee 25th …, 2018 - ieeexplore.ieee.org
Code smells are symptoms of poor design and implementation choices weighing heavily on
the quality of produced source code. During the last decades several code smell detection …

[HTML][HTML] Evolution of software in automated production systems: Challenges and research directions

B Vogel-Heuser, A Fay, I Schaefer, M Tichy - Journal of Systems and …, 2015 - Elsevier
Coping with evolution in automated production systems implies a cross-disciplinary
challenge along the system's life-cycle for variant-rich systems of high complexity. The …

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 …

Quantifying the effect of code smells on maintenance effort

DIK Sjøberg, A Yamashita, BCD Anda… - IEEE Transactions …, 2012 - ieeexplore.ieee.org
Context: Code smells are assumed to indicate bad design that leads to less maintainable
code. However, this assumption has not been investigated in controlled studies with …