Interpretable deep learning for efficient code smell prioritization in software development
Code smells indicate potential design flaws in software systems that can impair maintainability and increase technical debt. While existing approaches have advanced code smell priortization, they often lack effective prioritization mechanisms and interpretability, hindering developers’ ability to ma...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | en |
| Published: |
Institute of Electrical and Electronics Engineers
2025
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| Online Access: | http://psasir.upm.edu.my/id/eprint/121578/1/121578.pdf http://psasir.upm.edu.my/id/eprint/121578/ https://ieeexplore.ieee.org/document/10907894/ |
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