A Combined-Learning Based Framework for Improved Software Fault Prediction

A Combined-Learning Based Framework for Improved Software Fault Prediction

Software Fault Prediction (SFP) is found to be vital to predict the fault-proneness of software modules, which allows software engineers to focus development activities on fault-prone modules, thereby prioritize and optimize tests, improve software quality and make better use of resources. In this r...

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Bibliographic Details
Main Authors: Chubato Wondaferaw Yohannese, Tianrui Li
Format: Article
Language:English
Published: Atlantis Press 2017-01-01
Series:International Journal of Computational Intelligence Systems
Subjects:
Software Fault Prediction
Software Metrics
Feature Selection
Data Balancing
Machine Learning
Online Access:https://www.atlantis-press.com/article/25870782/view

Internet

https://www.atlantis-press.com/article/25870782/view

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