Support vector regression for predicting the productivity of higher education graduate students from individually developed software projects-Reference-Cited by-同舟云学术

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Support vector regression for predicting the productivity of higher education graduate students from individually developed software projects

Published:2017-10 Issue:5 Volume:11 Page:265-270
ISSN:1751-8806
Container-title:IET Software
language:en
Short-container-title:IET softw.

Author:

López-Martín Cuauhtémoc¹,Ulloa-Cazarez Rosa Leonor²,García-Floriano Andrés³

Affiliation:

1. Department of Information Systems Universidad de Guadalajara Periférico Norte # 799 Zapopan Jalisco México

2. Sistema de Universidad Virtual Universidad de Guadalajara Av. La Paz # 2453 Guadalajara Jalisco México

3. Centro de Investigación en Computación Instituto Politécnico Nacional Av. Juan de Dios Bátiz México México

Publisher

Institution of Engineering and Technology (IET)

Subject

Computer Graphics and Computer-Aided Design

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/iet-sen.2016.0304

Reference52 articles.

1. OECD Science, Technology and Industry Scoreboard 2015

2. CSIMarket: ‘Economic indicators. Performance by industry’ CSIMarket.com 2017

3. Bloomberg: ‘Broad global market Americas index’ Bloomberg L.P. 2017

4. Software SMEs’ unofficial readiness for CMMI®-based software process improvement

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