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Khleel et al., 2024 - Google Patents

Improving accuracy of code smells detection using machine learning with data balancing techniques

Khleel et al., 2024

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Document ID
10361519724971743676
Author
Khleel N
Nehéz K
Publication year
Publication venue
The Journal of Supercomputing

External Links

Snippet

Code smells indicate potential symptoms or problems in software due to inefficient design or incomplete implementation. These problems can affect software quality in the long-term. Code smell detection is fundamental to improving software quality and maintainability …
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Classifications

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    • G06N99/005Learning machines, i.e. computer in which a programme is changed according to experience gained by the machine itself during a complete run
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06NCOMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N5/00Computer systems utilising knowledge based models
    • G06N5/02Knowledge representation
    • G06N5/022Knowledge engineering, knowledge acquisition
    • G06N5/025Extracting rules from data
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