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Advanced Face Mask Detection Model Using Hybrid Dilation Convolution Based Method 基于混合扩张卷积的高级面罩检测模型
Pub Date : 2023-01-01 DOI: 10.4236/jsea.2023.161001
Shaohan Wang, Xiangyu Wang, Xin Guo
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引用次数: 1
Guideline of Test Suite Construction for GUI Software Centered on Grey-Box Approach 基于灰盒方法的GUI软件测试套件构建指南
Pub Date : 2023-01-01 DOI: 10.4236/jsea.2023.165007
Meng-qing Tanli, Jiyi Xiao, Ying Zhang
In this paper, the test suite construction for GUI (Graphical User Interface) software may be executed centered on grey-box approach with the prior test design of window access controls for unit testing, including front-end method of white box and follow-up black box method for integration testing. Moreover, two key opinions are proposed for the test suite construction for GUI software, the first one is that the “Triple-step method” should be used for unit testing with the prior disposing of data boundary value testing of input controls, and another one is that the “Grey-box approach” should be applied in integration testing for GUI software with necessary testing preparation in the precondition. At the same time, the testing of baseline version and the incremental testing should be considered for the test case construction to coordinate with the whole evolution of software product today. Additionally, all our opinion and thought are verified and tested with a typical case of GUI soft-ware—PQMS (Product Quality Monitoring Software/System), and results indicate that these methods and specific disposing are practical and effective.
在本文中,GUI(图形用户界面)软件的测试套件构建可以以灰盒方法为中心,以单元测试的窗口访问控件的预先测试设计为中心,包括前端白盒方法和后续集成测试的黑盒方法。对GUI软件的测试套件构建提出了两个重点意见,一是单元测试应采用“三步法”,优先处理输入控件的数据边界值测试;二是GUI软件的集成测试应采用“灰盒法”,并在此前提下进行必要的测试准备。同时,对于测试用例的构建,应该考虑基线版本的测试和增量测试,以配合当今软件产品的整个演进。并以GUI软件- pqms (Product Quality Monitoring Software/System,产品质量监控软件/系统)为例进行了验证和测试,结果表明这些方法和具体处理是切实有效的。
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引用次数: 1
Research and Implementation of Cancer Gene Data Classification Based on Deep Learning 基于深度学习的癌症基因数据分类研究与实现
Pub Date : 2023-01-01 DOI: 10.4236/jsea.2023.166009
Yuan-Gu Wei, Meiyan Gao, Jun Xiao, Chi-Hung Liu, Yuan Tian, Ya He
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引用次数: 4
Dynamically Scaled Fuzzy Control of Autonomous Intelligent Actor 自主智能Actor的动态缩放模糊控制
Pub Date : 2023-01-01 DOI: 10.4236/jsea.2023.167016
A. Tserkovny
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引用次数: 0
DSML ProcGraph: Overview and a Mid-Size Industrial Application Example DSML ProcGraph:概述和一个中型工业应用示例
Pub Date : 2023-01-01 DOI: 10.4236/jsea.2023.168017
G. Godena, M. Glavan
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引用次数: 0
Fourth Industrial Revolution: A Readiness Assessment of Project Managers in Tanzania 第四次工业革命:坦桑尼亚项目经理的准备评估
Pub Date : 2023-01-01 DOI: 10.4236/jsea.2023.163005
Edephonce N. Nfuka
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引用次数: 0
Strategy and Methodology of Integration Testing for GUI Software GUI软件集成测试的策略与方法
Pub Date : 2023-01-01 DOI: 10.4236/jsea.2023.168019
Meng-qing Tanli, Jiyi Xiao, Ying Zhang
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引用次数: 0
Software Metric Analysis of Open-Source Business Software 开源商业软件的软件度量分析
Pub Date : 2023-01-01 DOI: 10.4236/jsea.2023.165008
C. W. Butler
Over the past decade, open-source software use has grown. Today, many companies including Google, Microsoft, Meta, RedHat, MongoDB, and Apache are major participants of open-source contributions. With the increased use of open-source software or integration of open-source software into custom-developed software, the quality of this software component increases in importance. This study examined a sample of open-source applications from GitHub. Static software analytics were conducted, and each application was classified for its risk level. In the analyzed applications, it was found that 90% of the applications were classified as low risk or moderate low risk indicating a high level of quality for open-source applications.
在过去的十年里,开源软件的使用不断增长。今天,包括b谷歌、Microsoft、Meta、RedHat、MongoDB和Apache在内的许多公司都是开源贡献的主要参与者。随着越来越多地使用开源软件或将开源软件集成到定制开发的软件中,该软件组件的质量变得越来越重要。这项研究检查了来自GitHub的开源应用程序样本。进行了静态软件分析,并根据其风险级别对每个应用程序进行了分类。在分析的应用程序中,发现90%的应用程序被分类为低风险或中等低风险,这表明开源应用程序的质量很高。
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引用次数: 0
Artificial Intelligence Model to Detect and Classify Arabic Dialects 阿拉伯语方言检测与分类的人工智能模型
Pub Date : 2023-01-01 DOI: 10.4236/jsea.2023.167015
Iman S. Alansari
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引用次数: 0
An Educational GUI-Based Software for Dynamic Analysis of Framed Structural Models 基于gui的框架结构模型动力分析教学软件
Pub Date : 2023-01-01 DOI: 10.4236/jsea.2023.167014
Claudio H. B. Resende, Pedro C. Lopes, R. Rangel, Luis F. Paullo Muñoz, L. F. Martha
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引用次数: 0
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