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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...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
PeerJ Inc.
2021
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| Materias: | |
| 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 |