OPTIMIZING SOFTWARE DEFECT PREDICTION USING A HYBRID NEURAL NETWORK WITH WEIGHTED MODIFIED CUCKOO SEARCH
Flaws significantly impact the quality, dependability, and maintenance of software. Discovering flaws before they appear in production environments is possible using data mining and classification algorithms. However, precise prediction necessitates managing intricate datasets. HNN with WMCSO, a sof...
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| Hauptverfasser: | , , |
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| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
University of Kragujevac
2025-09-01
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| Schriftenreihe: | Proceedings on Engineering Sciences |
| Schlagworte: | |
| Online-Zugang: | https://pesjournal.net/journal/v7-n3/69.pdf |
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