e Informatica Softw. Eng. J.最新文献_第10页

Agile Scalability for Large Scale Projects: Lessons Learned 大规模项目的敏捷可伸缩性:经验教训

e Informatica Softw. Eng. J. Pub Date : 2020-07-01 DOI: 10.17706/JSW.10.7.893-903

Hina Saeeda, F. Arif, N. Minhas, M. Humayun

引用次数: 14

Extending UML Use Case Diagrams to Represent Non-Interactive Functional Requirements 扩展UML用例图以表示非交互功能需求

e Informatica Softw. Eng. J. Pub Date : 2020-06-24 DOI: 10.37190/e-inf200104

S. Iqbal, Issam Al-Azzoni, Gary Allen, H. Khan

{"title":"Extending UML Use Case Diagrams to Represent Non-Interactive Functional Requirements","authors":"S. Iqbal, Issam Al-Azzoni, Gary Allen, H. Khan","doi":"10.37190/e-inf200104","DOIUrl":"https://doi.org/10.37190/e-inf200104","url":null,"abstract":"Background: The comprehensive representation of functional requirements is a crucial activity in the analysis phase of the software development life cycle. Representation of a complete set of functional requirements helps in tracing business goals eﬀectively throughout the development life cycle. Use case modelling is one of the most widely-used methods to represent and document functional requirements of the system. Practitioners exploit use case modelling to represent interactive functional requirements of the system while overlooking some of the non-interactive functional requirements. The non-interactive functional requirements are the ones which are performed by the system without an initiation by the user, for instance, notifying something to the user or creating an internal backup. Aim: This paper addresses the representation of non-interactive requirements along with interactive ones (use cases) in one model. This paper calls such requirements ‘operation cases’ and proposes a new set of graphical and textual notations to represent them. Method: The proposed notations have been applied on a case study and have also been empirically evaluated to demonstrate the eﬀectiveness of the new notations in capturing non-interactive functional requirements. Results and Conclusion: The results of the evaluation indicate that the representation of operation cases helps in documenting a complete set of functional requirements, which ultimately results in a comprehensive translation of requirements into design.","PeriodicalId":11452,"journal":{"name":"e Informatica Softw. Eng. J.","volume":"33 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-06-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78653574","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 5

Clustering Center Optimization under-Sampling Method for Unbalanced Data 不平衡数据的聚类中心优化欠采样方法

e Informatica Softw. Eng. J. Pub Date : 2020-05-01 DOI: 10.17706/jsw.15.3.74-85

Haitao Li, Mingjie Zhuang

{"title":"Clustering Center Optimization under-Sampling Method for Unbalanced Data","authors":"Haitao Li, Mingjie Zhuang","doi":"10.17706/jsw.15.3.74-85","DOIUrl":"https://doi.org/10.17706/jsw.15.3.74-85","url":null,"abstract":": When the number of data in one class is significantly larger or less than the data in other class, under learning algorithm for classification, a problem of learning generalization occurs to the specific class and this is called imbalanced data problem. In this paper, a method of under-sampling based on the optimization cluster center selection (BCUSM) is proposed. First of all, the cluster center selection of K-means clustering algorithm is optimized, the initial cluster center is obtained by calculation, instead of random selection. The optimized method is called OICSK-means. And then use it to cluster the negative samples by setting the same number of clusters as positive samples. According to the cosine similarity, select the most similar samples from each cluster with cluster centers as the negative training samples, and a new training set is established with the positive samples. Finally, training with a new training set. This work selected some data from the UCI database of the University of California, Irvine, and used the support vector machine (SVM) classifier for experimental simulation, and compared the classification effects of this method with other four methods such as synthetic oversampling method (SMOTE). The experimental results demonstrate that the BCUSM has certain effectiveness. that of different data set in the experiment, which indicates that BCUSM under-sampling method is more universal than RUS random under-sampling method, and it also reflects that the RUS random under-sampling method easily loses important sample information when the training data has fewer feature attributes, resulting in poor classification. In addition, the SVM's classification effect on the balanced data set is significantly better than the direct SVM classification of the original data set. This shows that SVM is very sensitive to unbalanced data. When no processing is performed on the original training set, the classification accuracy of the SVM for the positive class is greatly reduced, but it also shows that the SVM has better classification performance when the data set is","PeriodicalId":11452,"journal":{"name":"e Informatica Softw. Eng. J.","volume":"51 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77591506","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Algorithm Available for Factoring Big Fermat Numbers 可用于分解大费马数的算法

e Informatica Softw. Eng. J. Pub Date : 2020-05-01 DOI: 10.17706/jsw.15.3.86-97

Xingbo Wang

引用次数: 5

Validating Time Efficiency of AOSR 2.0: A Novel WMS Planner Algorithm for SMEs, under Industry 4.0 AOSR 2.0时间效率验证:工业4.0下面向中小企业的新型WMS规划算法

e Informatica Softw. Eng. J. Pub Date : 2020-03-01 DOI: 10.17706/jsw.15.2.53-61

F. U. Din, David J. Paul, Joseph F. Ryan, F. Henskens, M. Wallis

引用次数: 3

Research on Natural Language Processing and Semantic Analysis Model Application Based on Conceptual Graphs 基于概念图的自然语言处理与语义分析模型应用研究

e Informatica Softw. Eng. J. Pub Date : 2020-03-01 DOI: 10.17706/jsw.15.2.45-52

D. Shen, Qing Li, Dexin Qiao, Xingwen Zhou

{"title":"Research on Natural Language Processing and Semantic Analysis Model Application Based on Conceptual Graphs","authors":"D. Shen, Qing Li, Dexin Qiao, Xingwen Zhou","doi":"10.17706/jsw.15.2.45-52","DOIUrl":"https://doi.org/10.17706/jsw.15.2.45-52","url":null,"abstract":": With the rapid development and allround popularization of artificial intelligence, all walks of life are also trying their best to promote the cross integration of information in different fields, using the Internet to promote industrial transformation, and promoting the transformation of industrial economy to information economy. Therefore, semantic understanding and text analysis are more and more indepth research in enterprise information intelligence. In order to meet the needs of effective analysis and processing a large amount of information data in key construction projects of large-scale energy enterprises, this paper proposes a natural language processing and semantic analysis model based on conceptual graphs design. The content of the unstructured data collected is studied by unsupervised machine learning according to the organization and representation knowledge in the conceptual graphs model, and then it is selfcontained the function of dynamic recognition of text semantics through text analyzer, and output the corresponding learning feedback results. The practical application results show that the design model is feasible, which significantly improves the learning effect and the accuracy of information screening, and also provides strong support for the follow-up big data analysis..","PeriodicalId":11452,"journal":{"name":"e Informatica Softw. Eng. J.","volume":"29 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72703823","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A Survey of Mining Software Repositories in Social Network 社交网络中软件资源库挖掘研究综述

e Informatica Softw. Eng. J. Pub Date : 2020-03-01 DOI: 10.17706/jsw.15.2.62-67

Yuexiao Teng

引用次数: 2

What Support do Systematic Reviews Provide for Evidence-informed Teaching about Software Engineering Practice? 系统评审为软件工程实践的循证教学提供了什么支持?

e Informatica Softw. Eng. J. Pub Date : 2020-02-13 DOI: 10.37190/e-inf200101

D. Budgen, P. Brereton, N. Williams, Sarah Drummond

{"title":"What Support do Systematic Reviews Provide for Evidence-informed Teaching about Software Engineering Practice?","authors":"D. Budgen, P. Brereton, N. Williams, Sarah Drummond","doi":"10.37190/e-inf200101","DOIUrl":"https://doi.org/10.37190/e-inf200101","url":null,"abstract":"Background: The adoption of the evidence-based research paradigm by software engineering researchers has created a growing knowledge base provided by the outcomes from systematic reviews. \u0000 \u0000Aim: We set out to identify and catalogue a sample of the knowledge provided by systematic reviews, to determine what support they can provide for an evidence-informed approach to teaching about software engineering practice. \u0000 \u0000Method: We undertook a tertiary study (a mapping study of systematic reviews) covering the period to the end of 2015. We identified and catalogued those reviews that had findings or made recommendations that were considered relevant to teaching about industry practice. \u0000 \u0000Results: We examined a sample of 276 systematic reviews, selecting 49 for which we could clearly identify practice-oriented findings and recommendations that were supported by the data analysis provided in the review. We have classified these against established software engineering education knowledge categories and discuss the extent and forms of knowledge provided for each category. \u0000 \u0000Conclusion: While systematic reviews can provide knowledge that can inform teaching about practice, relatively few systematic reviews present the outcomes in a form suitable for this purpose. Using a suitable format for presenting a summary of outcomes could improve this. Additionally, the increasing number of published systematic reviews suggests that there is a need for greater coordination regarding the cataloguing of their findings and recommendations.","PeriodicalId":11452,"journal":{"name":"e Informatica Softw. Eng. J.","volume":"2 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-02-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78435014","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 11

Measurable Interactive Application to Find Out User Recognition and Strategy when Problem Solving 可测量的交互式应用程序，以找出用户的识别和策略，当问题解决

e Informatica Softw. Eng. J. Pub Date : 2020-01-01 DOI: 10.17706/jsw.15.1.12-22

Taku Yamaguchi, M. Oba

引用次数: 0

An Automated Approach to Assessing Code Quality via Bug Reports 通过Bug报告自动评估代码质量的方法

e Informatica Softw. Eng. J. Pub Date : 2020-01-01 DOI: 10.17706/jsw.15.1.23-29

Yuexiao Teng

引用次数: 0