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...

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Detalles Bibliográficos
Autores principales: Jorayeva, Manzura, Akbulut, Akhan, Catal, Cagatay, Mishra, Alok
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Review
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

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9003321/
https://www.ncbi.nlm.nih.gov/pubmed/35408166
http://dx.doi.org/10.3390/s22072551

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