What is it about?
Use of Support Vector Machine Regression to predict the productivity of software projects developed by Graduate students.
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Why is it important?
The use of Support Vector Machine for prediction of parameters in software projects is important since the most used method is linear regression and in this work we prove that Support Vector Machine is a better technique
Perspectives
The use of computational techniques to solve management issues is not a new issue, however to use those techniques to manage classroom performances is an innovative and effective approach.
Professor Rosa Leonor Ulloa-Cazarez
Universidad de Guadalajara
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This page is a summary of: Support Vector Regression for Predicting the Productivity of Higher Education Graduate Students from Individually Developed Software Projects , IET Software, July 2017, the Institution of Engineering and Technology (the IET),
DOI: 10.1049/iet-sen.2016.0304.
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