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Machine Learning-Based Software Defect Prediction for Mobile Applications: A Systematic Literature Review
Software defect prediction studies aim to predict defect-prone components before the testing stage of the software development process. The main benefit of these prediction models is that more testing resources can be allocated to fault-prone modules effectively. While a few software defect predicti...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9003321/ https://www.ncbi.nlm.nih.gov/pubmed/35408166 http://dx.doi.org/10.3390/s22072551 |