Inheritance metrics feats in unsupervised learning to classify unlabeled datasets and clusters in fault prediction

Fault prediction is a necessity to deliver high-quality software. The absence of training data and mechanism to labeling a cluster faulty or fault-free is a topic of concern in software fault prediction (SFP). Inheritance is an important feature of object-oriented development, and its metrics measur...

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Detalles Bibliográficos
Autores principales: Aziz, Syed Rashid, Khan, Tamim Ahmed, Nadeem, Aamer
Formato: Online Artículo Texto
Lenguaje:English
Publicado: PeerJ Inc. 2021
Materias:
Artificial Intelligence
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8576544/
https://www.ncbi.nlm.nih.gov/pubmed/34805500
http://dx.doi.org/10.7717/peerj-cs.722

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8576544/
https://www.ncbi.nlm.nih.gov/pubmed/34805500
http://dx.doi.org/10.7717/peerj-cs.722

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