CN113490920A - 一种评估代码设计质量的方法、装置和系统 - Google Patents

一种评估代码设计质量的方法、装置和系统 Download PDF

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CN113490920A
CN113490920A CN201980093503.9A CN201980093503A CN113490920A CN 113490920 A CN113490920 A CN 113490920A CN 201980093503 A CN201980093503 A CN 201980093503A CN 113490920 A CN113490920 A CN 113490920A
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error
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彭飞
韩克�
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Siemens AG
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    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F11/00—Error detection; Error correction; Monitoring
    • G06F11/36—Preventing errors by testing or debugging software
    • G06F11/3604—Software analysis for verifying properties of programs
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    • G06F11/34—Recording or statistical evaluation of computer activity, e.g. of down time, of input/output operation ; Recording or statistical evaluation of user activity, e.g. usability assessment
    • G06F11/3447—Performance evaluation by modeling
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F11/00—Error detection; Error correction; Monitoring
    • G06F11/30—Monitoring
    • G06F11/34—Recording or statistical evaluation of computer activity, e.g. of down time, of input/output operation ; Recording or statistical evaluation of user activity, e.g. usability assessment
    • G06F11/3452—Performance evaluation by statistical analysis
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F11/00—Error detection; Error correction; Monitoring
    • G06F11/36—Preventing errors by testing or debugging software
    • G06F11/3604—Software analysis for verifying properties of programs
    • G06F11/3616—Software analysis for verifying properties of programs using software metrics
    • G—PHYSICS
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    • G06N3/08—Learning methods
    • G06N3/088—Non-supervised learning, e.g. competitive learning
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/04—Architecture, e.g. interconnection topology
    • G06N3/048—Activation functions

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Abstract

一种评估代码设计质量的方法、装置和系统。评估代码设计质量的方法包括：基于代码的静态扫描结果确定代码中存在易错模式的概率；输入概率到人工神经网络，基于人工神经网络确定代码是否违反预定的设计原则以及违反设计原则的量化程度的预测结果；基于预测结果评估代码的设计质量。本发明实施方式可以提高评估代码设计质量的准确度。通过检测代码中易错模式的存在，预测软件设计过程中是否违反关键设计原则以及违反关键设计原则的量化程度，并由此评估代码的设计质量，从而实现软件代码审核过程的全自动化，克服现有技术错误警告过多的缺点，具有评估准确度高的优点。

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PCT国内申请，说明书已公开。

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  1. PCT国内申请，权利要求书已公开。
CN201980093503.9A 2019-03-26 2019-03-26 一种评估代码设计质量的方法、装置和系统 Pending CN113490920A (zh)

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JP2022186541A (ja) * 2021-06-04 2022-12-15 株式会社日立製作所 ソースコード解析装置およびソースコード解析方法
CN113722239B (zh) * 2021-11-01 2022-01-25 南昌航空大学 机载嵌入式软件质量检测方法、装置、介质及电子设备
CN114816963B (zh) * 2022-06-28 2022-09-20 南昌航空大学 嵌入式软件质量评估方法、系统、计算机及可读存储介质

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JP2013077297A (ja) * 2011-09-15 2013-04-25 Canon Inc 情報処理装置およびその制御方法
US20130311968A1 (en) * 2011-11-09 2013-11-21 Manoj Sharma Methods And Apparatus For Providing Predictive Analytics For Software Development
CN103995775A (zh) 2014-05-20 2014-08-20 浪潮电子信息产业股份有限公司 一种基于神经网络的测试数据生成方法
CN106055483B (zh) 2016-06-06 2019-03-22 重庆大学 基于欠采样操作的代价敏感神经网络的警告分类方法
US10635409B2 (en) * 2018-01-15 2020-04-28 Cognizant Technology Solutions India Pvt. Ltd. System and method for improving software code quality using artificial intelligence techniques
CN108710568A (zh) 2018-05-05 2018-10-26 中科软评科技（北京）有限公司 静态代码缺陷的检测方法、计算机设备及存储介质
US10621302B2 (en) * 2018-06-27 2020-04-14 International Business Machines Corporation Classification and localization of hotspots in integrated physical design layouts
EP3623948B1 (en) * 2018-09-14 2021-09-29 Tata Consultancy Services Limited Method and system for code analysis to identify causes of code smells
CN109408389B (zh) * 2018-10-30 2020-10-16 北京理工大学 一种基于深度学习的代码缺陷检测方法及装置
US10782936B1 (en) * 2019-01-30 2020-09-22 Architecture Technology Corporation Programming migration system and methods
KR20220038167A (ko) * 2019-08-30 2022-03-25 에이에스엠엘 네델란즈 비.브이. 반도체 디바이스 지오메트리 방법 및 시스템

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CN117311806A (zh) * 2023-11-30 2023-12-29 南昌航空大学 基于加权有向耦合网络的软件结构风险识别方法与装置
CN117311806B (zh) * 2023-11-30 2024-03-29 南昌航空大学 基于加权有向耦合网络的软件结构风险识别方法与装置

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WO2020191627A1 (zh) 2020-10-01

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