Comparing within-and cross-project machine learning algorithms for code smell detection

M De Stefano, F Pecorelli, F Palomba… - Proceedings of the 5th …, 2021 - dl.acm.org
Code smells represent a well-known problem in software engineering, since they are a
notorious cause of loss of comprehensibility and maintainability. The most recent efforts in …

[PDF][PDF] Code smell detection using whale optimization algorithm

MM Draz, MS Farhan, SN Abdulkader… - Comput., Mater …, 2021 - cdn.techscience.cn
Software systems have been employed in many fields as a means to reduce human efforts;
consequently, stakeholders are interested in more updates of their capabilities. Code smells …

[PDF][PDF] Deep convolutional neural network model for bad code smells detection based on oversampling method

NAA Khleel, K Nehéz - Indones. J. Electr. Eng. Comput. Sci, 2022 - researchgate.net
Code smells refers to any symptoms or anomalies in the source code that shows violation of
design principles or implementation. Early detection of bad code smells improves software …

Detecting code smells using industry-relevant data

L Madeyski, T Lewowski - Information and Software Technology, 2023 - Elsevier
Context Code smells are patterns in source code associated with an increased defect rate
and a higher maintenance effort than usual, but without a clear definition. Code smells are …

Code smells detection using artificial intelligence techniques: A business-driven systematic review

T Lewowski, L Madeyski - … in Information & Knowledge Management for …, 2022 - Springer
Context Code smells in the software systems are indications that usually correspond to
deeper problems that can negatively influence software quality characteristics. This review is …

[PDF][PDF] A Hybrid Approach To Detect Code Smells using Deep Learning.

M Hadj-Kacem, N Bouassida - ENASE, 2018 - scitepress.org
The detection of code smells is a fundamental prerequisite for guiding the subsequent steps
in the refactoring process. The more the detection results are accurate, the more the …

[PDF][PDF] Finding bad code smells with neural network models

DK Kim - International Journal of Electrical and …, 2017 - download.garuda.kemdikbud.go.id
Code smell refers to any symptom introduced in design or implementation phases in the
source code of a program. Such a code smell can potentially cause deeper and serious …

[PDF][PDF] Detection of code smells using machine learning techniques combined with data-balancing methods

NAA Khleel, K Nehéz - International Journal of Advances …, 2023 - pdfs.semanticscholar.org
Code smells indicate design issues that violate basic design principles such as hierarchy
encapsulation, abstraction, and others, potentially affecting software quality [1],[2]. Detecting …

Code smell severity classification using machine learning techniques

FA Fontana, M Zanoni - Knowledge-Based Systems, 2017 - Elsevier
Several code smells detection tools have been developed providing different results,
because smells can be subjectively interpreted and hence detected in different ways …

A preliminary study on the adequacy of static analysis warnings with respect to code smell prediction

S Lujan, F Pecorelli, F Palomba, A De Lucia… - Proceedings of the 4th …, 2020 - dl.acm.org
Code smells are poor implementation choices applied during software evolution that can
affect source code maintainability. While several heuristic-based approaches have been …