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Fault-Prone Module Prediction Model by Tiu Ton is a document available to read on EtoBox.

What is Fault-Prone Module Prediction Model about?

The document describes the results of a study that used machine learning techniques to predict which software modules would be fault-prone based on product and process metrics. It shows that the model was able to predict modules as fault-prone with over 80% accuracy. It also depicts a classification tree built using a preference value that limited the number of modules predicted as fault-prone to 29.9% and used only six important metrics to make the predictions.

Author

Tiu Ton

Language

EN