Imputation of missing data using masked denoising autoencoder with L2-norm regularization in software effort estimation
A frequent problem in building initial software effort estimation (SEE) models is the existence of many missing values in historical software engineering datasets. Due to human intervention, this is caused by frequent damage to software project data. Loss of information and bias in data analysis d...
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| Main Authors: | , |
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| Format: | Article |
| Language: | en |
| Published: |
Intelligent Network and Systems Society
2024
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| Online Access: | http://eprints.utem.edu.my/id/eprint/28448/2/00896311220241139231570.pdf http://eprints.utem.edu.my/id/eprint/28448/ https://oaji.net/articles/2023/3603-1719548951.pdf |
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