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Machine Learning for Software Estimation by maimoonaziz2003 is a document available to read on EtoBox.

What is Machine Learning for Software Estimation about?

This article evaluates the accuracy of software effort estimation using machine learning techniques, focusing on both ensemble and solo methods. The study systematically reviews 35 studies to determine which techniques yield the most accurate predictions based on common evaluation metrics. Results indicate that ensemble techniques generally provide better estimation accuracy than solo methods, highlighting the importance of selecting appropriate estimation strategies in software development.

Author

maimoonaziz2003

Language

EN