A code smell is any display in a program's source code that may signal a broader issue, impeding software development and maintenance. Developers struggle to recognize code smells, which has resulted in several detection tactics, tools, and software analysis tools, commonly referred to as code smell detection approaches. These techniques are generally used to uncover programming abnormalities and poor practices. Code smell detection techniques are typically used to raise developer awareness of the internal quality of a development program, as different tools have different implications.
AL-Jibory,F Khiled. (2023). Code smells in software: Review. International Journal of Nonlinear Analysis and Applications, 14(1), 1339-1345. doi: 10.22075/ijnaa.2022.7029
MLA
AL-Jibory,F Khiled. "Code smells in software: Review", International Journal of Nonlinear Analysis and Applications, 14, 1, 2023, 1339-1345. doi: 10.22075/ijnaa.2022.7029
HARVARD
AL-Jibory F Khiled. (2023). 'Code smells in software: Review', International Journal of Nonlinear Analysis and Applications, 14(1), pp. 1339-1345. doi: 10.22075/ijnaa.2022.7029
CHICAGO
F Khiled AL-Jibory, "Code smells in software: Review," International Journal of Nonlinear Analysis and Applications, 14 1 (2023): 1339-1345, doi: 10.22075/ijnaa.2022.7029
VANCOUVER
AL-Jibory F Khiled. Code smells in software: Review. IJNAA. 2023;14(1):1339-1345. doi: 10.22075/ijnaa.2022.7029
International Journal of Nonlinear Analysis and Applications