Journal of Advances in Artificial Life Robotics
Online ISSN : 2435-8061
ISSN-L : 2435-8061
Proposal of a Method to Generate Classes and Instance Variable Definitions in VDM++ Specification by Using Machine Learning
Kensuke SugaTetsuro KatayamaYoshihiro KitaHisaaki YamabaKentaro AburadaNaonobu Okazaki
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JOURNAL OPEN ACCESS

2022 Volume 2 Issue 4 Pages 189-194

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Abstract

Writing VDM++ specifications is difficult. The existing method can automatically generate only type and constant definitions in VDM++ specification from natural language specification by using machine learning. This paper proposes a method to generate classes and instance variable definitions in VDM++ specification from natural language specification to improve the usefulness of the existing method. From the evaluation experiment by using F- values, it has been confirmed that the proposed method can improve the usefulness of the existing method.

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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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