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Predicting Software Reusability Using Classification Techniques

Published • Aug 13, 2024
NobleIDNI6P69W38R15S82
Authors:
Neda’a Alsalman
,
Raed Shatnawi
,
Ammar Jalamneh

Abstract

This study predicts software reusability at the class level using machine learning and a dataset of 65 Java applications. The reuse rates were calculated using cohesion, coupling, complexity, inheritance, documentation, and size metrics. The data was segmented by project size (all, small, medium, an...

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