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Software Defect Prediction Study by Dark Lord34 is a document available to read on EtoBox.

What is Software Defect Prediction Study about?

This document presents a research paper on Software Defect Prediction (SDP), comparing Within-Project (WP-SDP) and Cross-Project (CP-SDP) approaches using various machine learning algorithms and resampling techniques. The study utilizes the NASA MDP dataset to evaluate the performance of these methods, highlighting that WP-SDP with Random Forest outperforms others in most cases, while CP-SDP shows potential in small-scale projects. The findings emphasize the importance of selecting appropriate prediction sc

Author
Dark Lord34
Language
EN

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