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 …

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 …

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 …

Fully autonomous programming with large language models

V Liventsev, A Grishina, A Härmä… - Proceedings of the Genetic …, 2023 - dl.acm.org
Current approaches to program synthesis with Large Language Models (LLMs) exhibit a"
near miss syndrome": they tend to generate programs that semantically resemble the correct …

Test smell detection tools: A systematic map** study

W Aljedaani, A Peruma, A Aljohani, M Alotaibi… - Proceedings of the 25th …, 2021 - dl.acm.org
Test smells are defined as sub-optimal design choices developers make when
implementing test cases. Hence, similar to code smells, the research community has …

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 …

[HTML][HTML] Automatic detection of Long Method and God Class code smells through neural source code embeddings

A Kovačević, J Slivka, D Vidaković, KG Grujić… - Expert Systems with …, 2022 - Elsevier
Code smells are structures in code that often harm its quality. Manually detecting code
smells is challenging, so researchers proposed many automatic detectors. Traditional code …