A systematic review of refactoring opportunities by software antipattern detection
S Kalhor, MR Keyvanpour, A Salajegheh - Automated Software …, 2024 - Springer
The violation of the semantic and structural software principles, such as low connection, high
coherence, high understanding, and others, are called anti-patterns, which is one of the …
coherence, high understanding, and others, are called anti-patterns, which is one of the …
Prescriptive procedure for manual code smell annotation
Code smells are structures in code that present potential software maintainability issues.
Manually constructing high-quality datasets to train ML models for code smell detection is …
Manually constructing high-quality datasets to train ML models for code smell detection is …
Prompt Learning for Multi-Label Code Smell Detection: A Promising Approach
H Liu, Y Zhang, V Saikrishna, Q Tian… - arXiv preprint arXiv …, 2024 - arxiv.org
Code smells indicate the potential problems of software quality so that developers can
identify refactoring opportunities by detecting code smells. State-of-the-art approaches …
identify refactoring opportunities by detecting code smells. State-of-the-art approaches …
Supporting single responsibility through automated extract method refactoring
The responsibility of a method/function is to perform some desired computations and
disseminate the results to its caller through various deliverables, including object fields and …
disseminate the results to its caller through various deliverables, including object fields and …
Data Preprocessing for Machine Learning Based Code Smell Detection: A Systematic Literature Review
FR Santos, R Choren - Available at SSRN 4756315 - papers.ssrn.com
Detecting code smells using machine learning presents inherent challenges due to the
unbalanced nature of the problem and susceptibility to interpretation biases. The objective of …
unbalanced nature of the problem and susceptibility to interpretation biases. The objective of …