Journal of Robotics, Networking and Artificial Life
Online ISSN : 2352-6386
Print ISSN : 2405-9021
A Proposal of a Software Defect Predication System “FaRSeT-#” for Exploratory Testing
Yoshihiro Kita Kazuki UedaKiyotaka Sakurai
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JOURNAL OPEN ACCESS

2022 Volume 9 Issue 2 Pages 115-120

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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.
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© 2022 ALife Robotics Corporation Ltd.

この記事はクリエイティブ・コモンズ [表示 - 非営利 4.0 国際]ライセンスの下に提供されています。
https://creativecommons.org/licenses/by-nc/4.0/deed.ja
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