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Alain Abran


Predicting Software Maintainability using Esemble Techniques and Stacked Generalization

The prediction of software maintainability has emerged as an important research topic to address industry expectations for reducing costs and, in particular, maintenance costs. In the last decades, many studies have used single techniques, statistical and machine learning, to predict software maintainability but no agreement has been reached on the technique that can achieve better prediction.


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