Programming and Computer Software最新文献_第7页

Classification of Non-functional Requirements Using Convolutional Neural Networks 使用卷积神经网络对非功能性要求进行分类

IF 0.7 4区计算机科学

Programming and Computer Software Pub Date : 2024-01-24 DOI: 10.1134/s0361768823080133

S. E. Martínez García, C. Alberto Fernández-y-Fernández, E. G. Ramos Pérez

{"title":"Classification of Non-functional Requirements Using Convolutional Neural Networks","authors":"S. E. Martínez García, C. Alberto Fernández-y-Fernández, E. G. Ramos Pérez","doi":"10.1134/s0361768823080133","DOIUrl":"https://doi.org/10.1134/s0361768823080133","url":null,"abstract":"<h3 data-test=\"abstract-sub-heading\">Abstract</h3><p>The requirements phase is the core of software development, if it is not carried out correctly it can cause its failure. To combat this problem, analysts have used requirements engineering (ER, for its acronym in English), which is characterized by producing a list of quality requirements called requirements specification (RS, for its acronym in English). The SR performs the requirements classification activity, which consists of identifying the class to which each requirement belongs so that analysts face the challenge of classifying them properly. This work is focused on improving the performance of the classification of non-functional requirements (NFR); that is, with the help of a convolutional neural network. It also seeks to show the importance of preprocessing, the implementation of sampling strategies, and the use of previously trained matrices such as Fasttext, Glove, and Word2vec. The results were obtained by evaluating the metrics Recall, Precision, and F1 with an average increase of up to 30% over related work. Finally, the evaluation of the model is presented with respect to the pre-trained matrices with the ANOVA analysis.</p>","PeriodicalId":54555,"journal":{"name":"Programming and Computer Software","volume":null,"pages":null},"PeriodicalIF":0.7,"publicationDate":"2024-01-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139559590","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A Tertiary Study on Microservices: Research Trends and Recommendations 微服务三级研究：研究趋势与建议

IF 0.7 4区计算机科学

Programming and Computer Software Pub Date : 2024-01-24 DOI: 10.1134/s0361768823080200

Z. Stojanov, I. Hristoski, J. Stojanov, A. Stojkov

{"title":"A Tertiary Study on Microservices: Research Trends and Recommendations","authors":"Z. Stojanov, I. Hristoski, J. Stojanov, A. Stojkov","doi":"10.1134/s0361768823080200","DOIUrl":"https://doi.org/10.1134/s0361768823080200","url":null,"abstract":"<h3 data-test=\"abstract-sub-heading\">Abstract</h3><p>The development and adoption of microservices, as one of the most promising directions for developing heterogeneous distributed software systems, have been driven by dynamic changes in business and technology. In addition to the development of new applications, a significant aspect of microservices is the migration from legacy monolithic systems to microservice architectures. Such development trends are accompanied by an increase in the number of primary and secondary publications addressing microservices, highlighting the need to systematize research at a higher level. The objective of this study is to comprehensively analyze secondary studies in the field of microservices from the following five aspects: (1) publishing trends, (2) quality trends of secondary studies, (3) research trends, (4) domains of implementation, and (5) future research directions. The study follows the guidelines for conducting a systematic literature review. The findings were derived from 44 secondary studies published in the period from January 2016 to January 2023. These studies were organized and analyzed to address the five proposed research questions pertaining to the study objectives. The findings suggest that the most promising research directions are related to the development, implementation, and validation of new approaches, methods, and tools that encompass all the phases of the life cycle. Additionally, these research directions have applications in a variety of business and human life domains. Recommendations for further literature reviews relate to improvement of quality assessment of selected studies, more detailed review of architecture quality attributes, inquiry of human factor issues, and certain maintenance and operation issues. From the methodological aspect, recommendations relate to using social science qualitative methods for more detailed analysis of selected studies, and inclusion of gray literature that will bring the real experience of experts from industry.</p>","PeriodicalId":54555,"journal":{"name":"Programming and Computer Software","volume":null,"pages":null},"PeriodicalIF":0.7,"publicationDate":"2024-01-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139559673","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Supporting the Architectural Knowledge Condensation in a Co-Localized Agile Environment for Small Entities Using an Ontology 使用本体论支持小实体共定位敏捷环境中的建筑知识浓缩

IF 0.7 4区计算机科学

Programming and Computer Software Pub Date : 2024-01-24 DOI: 10.1134/s0361768823080182

J. Robles, G. Borrego, R. Palacio, F. E. Castillo-Barrera

引用次数: 0

Antipattern Practice for Essence Practice Library 精华实践库的反模式实践

IF 0.7 4区计算机科学

Programming and Computer Software Pub Date : 2024-01-24 DOI: 10.1134/s0361768823080273

D. O. Zmeev, O. A. Zmeev, L. S. Ivanova

引用次数: 0

Regular Memory Structures and Operation Domains of Intelligent Systems 智能系统的常规内存结构和操作域

IF 0.7 4区计算机科学

Programming and Computer Software Pub Date : 2024-01-24 DOI: 10.1134/s036176882308011x

K. I. Kostenko

{"title":"Regular Memory Structures and Operation Domains of Intelligent Systems","authors":"K. I. Kostenko","doi":"10.1134/s036176882308011x","DOIUrl":"https://doi.org/10.1134/s036176882308011x","url":null,"abstract":"<h3 data-test=\"abstract-sub-heading\">Abstract</h3><p>The concept of a regular memory area for an intelligent system (IS) is considered. The formalized description of the memory of a separate IS component is based on an infinite saturated binary tree. Knowledge is stored in special memory subareas in the form of semantic hierarchies. This knowledge constitutes the memory content, represented by its semantic structure. This structure integrates knowledge generated and transformed by morphisms and evolutions of knowledge, which, in turn, are used to implement the IS goals. The system of knowledge morphisms and knowledge evolution is used for IS modeling. This system allows one to describe the areas of initial data and values for these morphisms and evolution using regular expressions. The family of these sets generalizes the system of classes of morphism domains. These classes are developed for the knowledge formalisms and knowledge processing flowcharts used. The application of regular expressions to describe memory structures of IS components makes it possible to construct high-level mathematical models for big and complex intelligent systems. These models allow one to develop distributed memory control schemes for knowledge processing flows and processes in intelligent systems.</p>","PeriodicalId":54555,"journal":{"name":"Programming and Computer Software","volume":null,"pages":null},"PeriodicalIF":0.7,"publicationDate":"2024-01-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139559574","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Scene Text Detection Using HRNet and Spatial Attention Mechanism 利用 HRNet 和空间注意力机制进行场景文本检测

IF 0.7 4区计算机科学

Programming and Computer Software Pub Date : 2024-01-24 DOI: 10.1134/s0361768823080212

Qingsong Tang, Zhangyan Jiang, Bolin Pan, Jinting Guo, Wuming Jiang

引用次数: 0

Mining User-Object Interaction Data for Student Modeling in Intelligent Learning Environments 挖掘用户与物体交互数据，为智能学习环境中的学生建模

IF 0.7 4区计算机科学

Programming and Computer Software Pub Date : 2024-01-24 DOI: 10.1134/s036176882308008x

J. G. Hernández-Calderón, E. Benítez-Guerrero, J. R. Rojano-Cáceres, Carmen Mezura-Godoy

{"title":"Mining User-Object Interaction Data for Student Modeling in Intelligent Learning Environments","authors":"J. G. Hernández-Calderón, E. Benítez-Guerrero, J. R. Rojano-Cáceres, Carmen Mezura-Godoy","doi":"10.1134/s036176882308008x","DOIUrl":"https://doi.org/10.1134/s036176882308008x","url":null,"abstract":"<h3 data-test=\"abstract-sub-heading\">Abstract</h3><p>This work seeks to contribute to the development of intelligent environments by presenting an approach oriented to the identification of On-Task and Off-Task behaviors in educational settings. This is accomplished by monitoring and analyzing the user-object interactions that users manifest while performing academic activities with a tangible-intangible hybrid system in a university intelligent environment configuration. With the proposal of a framework and the Orange Data Mining tool and the Neural Network, Random Forest, Naive Bayes, and Tree classification models, training and testing was carried out with the user-object interaction records of the 13 students (11 for training and two for testing) to identify representative sequences of behavior from user-object interaction records. The two models that had the best results, despite the small number of data, were the Neural Network and Naive Bayes. Although a more significant amount of data is necessary to perform a classification adequately, the process allowed exemplifying this process so that it can later be fully incorporated into an intelligent educational system.</p>","PeriodicalId":54555,"journal":{"name":"Programming and Computer Software","volume":null,"pages":null},"PeriodicalIF":0.7,"publicationDate":"2024-01-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139559548","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Determination of Relevant Risk Factors for Breast Cancer Using Feature Selection 利用特征选择确定乳腺癌的相关风险因素

IF 0.7 4区计算机科学

Programming and Computer Software Pub Date : 2024-01-24 DOI: 10.1134/s0361768823080091

Zazil Ibarra-Cuevas, Jose Nunez-Varela, Alberto Nunez-Varela, Francisco E. Martinez-Perez, Sandra E. Nava-Muñoz, Cesar A. Ramirez-Gamez, Hector G. Perez-Gonzalez

{"title":"Determination of Relevant Risk Factors for Breast Cancer Using Feature Selection","authors":"Zazil Ibarra-Cuevas, Jose Nunez-Varela, Alberto Nunez-Varela, Francisco E. Martinez-Perez, Sandra E. Nava-Muñoz, Cesar A. Ramirez-Gamez, Hector G. Perez-Gonzalez","doi":"10.1134/s0361768823080091","DOIUrl":"https://doi.org/10.1134/s0361768823080091","url":null,"abstract":"<h3 data-test=\"abstract-sub-heading\">Abstract</h3><p>Breast cancer is a serious threat to women’s health worldwide. Although the exact causes of this disease are still unknown, it is known that the incidence of breast cancer is associated with risk factors. Risk factors in cancer are any genetic, reproductive, hormonal, physical, biological, or lifestyle-related conditions that increase the likelihood of developing breast cancer. This research aims to identify the most relevant risk factors in patients with breast cancer in a dataset by following the <i>Knowledge Discovery in Databases</i> process. To determine the relevance of risk factors, this research implements two feature selection methods: the <i>Chi-Squared test</i> and <i>Mutual Information</i>; and seven classifiers are used to validate the results obtained. Our results show that the risk factors identified as the most relevant are related to the age of the patient, her menopausal status, whether she had undergone hormonal therapy, and her type of menopause.</p>","PeriodicalId":54555,"journal":{"name":"Programming and Computer Software","volume":null,"pages":null},"PeriodicalIF":0.7,"publicationDate":"2024-01-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139559570","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Design of a Tool to Promote Teacher Training in the Inclusive Classroom in Care for Children with Hearing Disabilities Mediated by ICT 以信息和通信技术为媒介，设计促进听力残疾儿童全纳课堂教师培训的工具

IF 0.7 4区计算机科学

Programming and Computer Software Pub Date : 2024-01-24 DOI: 10.1134/s0361768823080194

Etelvina Archundia-Sierra

引用次数: 0

A Regression Model for Analysis of User Engagement on Facebook Fan Page for Scientific Dissemination Content 用于分析用户参与 Facebook 粉丝页科学传播内容的回归模型

IF 0.7 4区计算机科学

Programming and Computer Software Pub Date : 2024-01-24 DOI: 10.1134/s036176882308025x

P. Velazquez-Solis, J. E. Ibarra-Esquer, M. Astorga-Vargas, B. L. Flores-Rios, M. Carrillo-Beltrán, I. A. García Pacheco

引用次数: 0