Software Fault Estimation Framework based on aiNet

Software fault prediction techniques are helpful in developing dependable software. In this paper, we proposed a novel framework that integrates testing and prediction process for unit testing prediction. Because high fault prone metrical data are much scattered and multi-centers can represent the w...

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Bibliographic Details
Main Authors: Qian Yin, Ruiyi Luo, Ping Guo
Format: Article
Language:English
Published: Atlantis Press 2014-08-01
Series:International Journal of Computational Intelligence Systems
Subjects:
Online Access:https://www.atlantis-press.com/article/25868507.pdf