Title:

OS1-3 A Proposal of a Software Defect Predication System Using SOM

Publication: ICAROB2022
Volume: 27
Pages: 38-42
ISSN: 2188-7829
DOI: 10.5954/ICAROB.2022.OS1-3
Author(s): Yoshihiro Kita, Kazuki Ueda, Kiyotaka Sakurai
Publication Date: January 20, 2022
Keywords: software testing, exploratory testing, defect predication, self-organizing map (SOM)
Abstract: The goal of software testing is to detect all latent defects. However, it is difficult to know how many latent defects remain and where they are hidden. In this research, we propose a system that analyzes the characteristics and tendencies of already detected defects and predicts where the latent defects are likely to be. Specifically, the system inputs the data of detected defects into a Self-Organizing Map (SOM) and predicts the locations that contain many defects from this map. To confirm the validity of this proposal, we input past defect data into the SOM, analyze the trend of defects, and evaluate the predictability of the latent defects.
PDF File: https://alife-robotics.co.jp/members2022/icarob/data/html/data/OS/OS1/OS1-3.pdf
Copyright: © The authors.
This article is distributed under the terms of the Creative Commons Attribution License 4.0, which permits non-commercial use, distribution and reproduction in any medium, provided the original work is properly cited.
See for details: https://creativecommons.org/licenses/by-nc/4.0/

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