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 …

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 …

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 …

A survey on software smells

T Sharma, D Spinellis - Journal of Systems and Software, 2018 - Elsevier
Context Smells in software systems impair software quality and make them hard to maintain
and evolve. The software engineering community has explored various dimensions …

Code smell detection by deep direct-learning and transfer-learning

T Sharma, V Efstathiou, P Louridas… - Journal of Systems and …, 2021 - Elsevier
Context: An excessive number of code smells make a software system hard to evolve and
maintain. Machine learning methods, in addition to metric-based and heuristic-based …

Deep learning based code smell detection

H Liu, J **, Z Xu, Y Zou, Y Bu… - IEEE transactions on …, 2019 - ieeexplore.ieee.org
Code smells are structures in the source code that suggest the possibility of refactorings.
Consequently, developers may identify refactoring opportunities by detecting code smells …

On the relation of test smells to software code quality

D Spadini, F Palomba, A Zaidman… - 2018 IEEE …, 2018 - ieeexplore.ieee.org
Test smells are sub-optimal design choices in the implementation of test code. As reported
by recent studies, their presence might not only negatively affect the comprehension of test …

Beyond technical aspects: How do community smells influence the intensity of code smells?

F Palomba, DA Tamburri, FA Fontana… - IEEE transactions on …, 2018 - ieeexplore.ieee.org
Code smells are poor implementation choices applied by developers during software
evolution that often lead to critical flaws or failure. Much in the same way, community smells …

Comparing heuristic and machine learning approaches for metric-based code smell detection

F Pecorelli, F Palomba, D Di Nucci… - 2019 IEEE/ACM 27th …, 2019 - ieeexplore.ieee.org
Code smells represent poor implementation choices performed by developers when
enhancing source code. Their negative impact on source code maintainability 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 …