检索结果-南通市图书馆

Mining Patterns from Change Logs to Support Reuse-Driven Evolution of Software Architectures

Journal of Computer Science & Technology 2018年第6期33卷 1278-1306页

作者： Aakash Ahlnad Claus Pahl Ahmed B. Altamimi abdulrahman alreshidi College of Computer Science and Engineering University of Ha'il Ha'il 2440 Saudi Arabia Faculty of Computer Science Free University of Bozen-Bolzano Bozen-Bolzano 39100 Italy

Modern software systems are subject to a continuous evolution under frequently varying requirements andchanges in systems＇ operational environments. Lehman＇s law of continuing change demands for long-living and continuouslyevolving software to prolong its productive life and economic value by accommodating changes in existing software. Reusableknowledge and practices have proven to be successful for continuous development and evolution of the software effectivelyand efficiently. However, challenges such as empirical acquisition and systematic application of the reusable knowledge andpractices must be addressed to enable or enhance software evolution. We investigate architecture change logs -- mininghistories of architecture-centric software evolution -- to discover change patterns that 1） support reusability of architecturalchanges and 2） enhance the efficiency of the architecture evolution process. We model architecture change logs as a graphand apply graph-based formalism （i.e., graph mining techniques） to discover software architecture change patterns. Wehave developed a prototype that enables tool-driven automation and user decision support during software evolution. Wehave used the ISO-IEC-9126 model to qualitatively evaluate the proposed solution. The evaluation results suggest that theproposed solution 1） enables the reusability of frequent architectural changes and 2） enhances the efficiency of architecture-centric software evolution process. The proposed solution promotes research efforts to exploit the history of architecturalchanges to empirically discover knowledge that can guide architecture-centric software evolution.

关键词： software architecture software maintenance and evolution evolution pattern repository mining

来源：

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

A Comprehensive Image Processing Framework for Early Diagnosis of Diabetic Retinopathy

引用

Computers, Materials & Continua 2024年第11期81卷 2665-2683页

作者： Kusum Yadav Yasser Alharbi Eissa Jaber alreshidi abdulrahman alreshidi Anuj Kumar Jain Anurag Jain Kamal Kumar Sachin Sharma Brij BGupta College of Computer Science and Engineering University of Ha’ilHa’il81481Saudi Arabia Department of CSE Chandigarh UniversityMohaliPunjab140413India Department of Electronics and Communication Engineering Amity UniversityNoida201301India Department of Information Technology Indira Gandhi Delhi Technical University for WomenNew Delhi110006India Chief Manager State Bank of IndiaPanchkulaHaryana134109India Department of Computer Science and Information Engineering Asia UniversityTaichung City413Taiwan Symbiosis Centre for Information Technology(SCIT) Symbiosis International UniversityPune411057India Center for Interdisciplinary Research University of Petroleum and Energy Studies(UPES)Dehradun248007India

In today’s world,image processing techniques play a crucial role in the prognosis and diagnosis of various diseases due to the development of several precise and accurate methods for medical *** analysis of medical images is essential for doctors,as manual investigation often leads to inter-observer *** research aims to enhance healthcare by enabling the early detection of diabetic retinopathy through an efficient image processing *** proposed hybridized method combines Modified Inertia Weight Particle Swarm Optimization(MIWPSO)and Fuzzy C-Means clustering(FCM)*** FCM does not incorporate spatial neighborhood features,making it highly sensitive to noise,which significantly affects segmentation *** method incorporates a modified FCM that includes spatial functions in the fuzzy membership matrix to eliminate *** results demonstrate that the proposed FCM-MIWPSO method achieves highly precise and accurate medical image ***,segmented images are classified as benign or malignant using the Decision Tree-Based Temporal Association Rule(DT-TAR)*** analysis with existing state-of-the-art models indicates that the proposed FCM-MIWPSO segmentation technique achieves a remarkable accuracy of 98.42%on the dataset,highlighting its significant impact on improving diagnostic capabilities in medical imaging.

关键词： Image processing biological data PSO Fuzzy C-Means(FCM)

来源：

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Phishing Websites Detection by Using Optimized Stacking Ensemble Model

引用

Computer Systems Science & Engineering 2022年第4期41卷 109-125页

作者： Zeyad Ghaleb Al-Mekhlafi Badiea Abdulkarem Mohammed Mohammed Al-Sarem Faisal Saeed Tawfik Al-Hadhrami Mohammad T.Alshammari abdulrahman alreshidi Talal Sarheed Alshammari College of Computer Science and Engineering University of Ha'ilHa'il81481KSA College of Computer Sciences and Engineering Hodeidah UniversityHodeidah967Yemen College of Computer Science and Engineering Taibah UniversityAl-Madinah42353KSA Nottingham Trent University MansfieldNG185BHUnited Kingdom

Phishing attacks are security attacks that do not affect only individuals’or organizations’websites but may affect Internet of Things(IoT)devices and *** environment is an exposed environment for such *** may use thingbots software for the dispersal of hidden junk emails that are not noticed by *** and deep learning and other methods were used to design detection methods for these ***,there is still a need to enhance detection *** of an ensemble classiﬁcation method for phishing website(PW)detection is proposed in this study.A Genetic Algo-rithm(GA)was used for the proposed method optimization by tuning several ensemble Machine Learning(ML)methods parameters,including Random Forest(RF),AdaBoost(AB),XGBoost(XGB),Bagging(BA),GradientBoost(GB),and LightGBM(LGBM).These were accomplished by ranking the optimized classi-ﬁers to pick out the best classiﬁers as a base for the proposed method.A PW data-set that is made up of 4898 PWs and 6157 legitimate websites(LWs)was used for this study's *** a result,detection accuracy was enhanced and reached 97.16 percent.

关键词： Phishing websites ensemble classiﬁers optimization methods genetic algorithm

来源：

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

欢迎您,

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

在线全文

在线全文

在线全文

请选择保存的检索档案：

请选择收藏分类：

通借通还

欢迎您,

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

在线全文

在线全文

在线全文

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：