An empirical study based on semi-supervised hybrid self-organizing map for software fault prediction

Title
An empirical study based on semi-supervised hybrid self-organizing map for software fault prediction
Authors
Keywords
Artificial neural network, Clustering, Self-organizing maps, Semi-supervised, Software fault prediction, Threshold
Journal
KNOWLEDGE-BASED SYSTEMS
Volume 74, Issue -, Pages 28-39
Publisher
Elsevier BV
Online
2014-11-09
DOI
10.1016/j.knosys.2014.10.017

Ask authors/readers for more resources

Reprint

Contact the author

Find the ideal target journal for your manuscript

Explore over 38,000 international journals covering a vast array of academic fields.

Search

Add your recorded webinar

Do you already have a recorded webinar? Grow your audience and get more views by easily listing your recording on Peeref.

Upload Now