Classification framework for faulty-software using enhanced exploratory whale optimizer-based feature selection scheme and random forest ensemble learning

Software Fault Prediction (SFP) is an important process to detect the faulty components of the software to detect faulty classes or faulty modules early in the software development life cycle. In this paper, a machine learning framework is proposed for SFP. Initially, pre-processing and re-sampling...

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Detalles Bibliográficos
Autores principales: Mafarja, Majdi, Thaher, Thaer, Al-Betar, Mohammed Azmi, Too, Jingwei, Awadallah, Mohammed A., Abu Doush, Iyad, Turabieh, Hamza
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer US 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9909674/
https://www.ncbi.nlm.nih.gov/pubmed/36785593
http://dx.doi.org/10.1007/s10489-022-04427-x

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9909674/
https://www.ncbi.nlm.nih.gov/pubmed/36785593
http://dx.doi.org/10.1007/s10489-022-04427-x

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