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Machine learning device for software evaluation, software evaluation support device, and machine learning method for software evaluation

机译:用于软件评估的机器学习设备,软件评估支持设备和软件评估机器学习方法

摘要

PROBLEM TO BE SOLVED: To provide a machine learning device capable of efficient and high-quality software design. A machine learning device includes an evaluation unit and a learning unit. Based on the plurality of design rules and the software design information, the evaluation unit determines the degree of software design achievement indicating the degree of difference in the software design information with respect to the plurality of design rules. Multiple design rules relate to multiple elements that make up existing software and are defined in the metamodel. Software design information includes information on a plurality of elements that make up software created by redesigning existing software. The learning department learns the prediction of software design achievement for new software created by redesigning existing software based on a dataset in which multiple design rules and software design achievement are associated with each other. .. [Selection diagram] Fig. 1
机译:要解决的问题:提供一种能够有效和高质量的软件设计的机器学习设备。机器学习设备包括评估单元和学习单元。基于多个设计规则和软件设计信息,评估单元确定关于多个设计规则的软件设计信息的差异程度的软件设计成果的程度。多种设计规则与构成现有软件的多个元素相关,并在元模型中定义。软件设计信息包括有关由重新设计现有软件创建的软件的多个元素的信息。学习部门了解通过基于数据集重新设计现有软件的新软件来预测软件设计成果,其中多个设计规则和软件设计成就彼此相关。 .. [选择图]图1

著录项

  • 公开/公告号JP2021071831A

    专利类型

  • 公开/公告日2021-05-06

    原文格式PDF

  • 申请/专利权人 三菱電機株式会社;

    申请/专利号JP20190197024

  • 发明设计人 大槻 幸子;

    申请日2019-10-30

  • 分类号G06F8/20;G06F8/77;G06N20;

  • 国家 JP

  • 入库时间 2022-08-24 18:36:11

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