2014 Ninth International Conference on P2P, Parallel, Grid, Cloud and Internet Computing最新文献_第10页

Discovering Many-to-One Causality in Software Project Risk Analysis 发现软件项目风险分析中的多对一因果关系

2014 Ninth International Conference on P2P, Parallel, Grid, Cloud and Internet Computing Pub Date : 2014-11-08 DOI: 10.1109/3PGCIC.2014.133

Weiqi Chen, Kang Liu, Lijun Su, Mei Liu, Z. Hao, Yong Hu, Xiangzhou Zhang

{"title":"Discovering Many-to-One Causality in Software Project Risk Analysis","authors":"Weiqi Chen, Kang Liu, Lijun Su, Mei Liu, Z. Hao, Yong Hu, Xiangzhou Zhang","doi":"10.1109/3PGCIC.2014.133","DOIUrl":"https://doi.org/10.1109/3PGCIC.2014.133","url":null,"abstract":"Many risk factors affect software development and risk management has become one of the major activities in software development. Discovering causal directions among risk factors and project performance are important support for risk management. The Additive Noise Model (ANM) is an effective algorithm for discovering the direction on one-to-one causalities, but ineffective on many-to-one causalities which are frequent in software project risk analysis (SPRA) process. Thus we proposed a modified ANM with Conditional Probability Table (ANMCPT) to discover the causal direction among risk factors and project performance. The experimental results show our proposed algorithm is effective to discover the many-to-one causalities in SPRM on 498 collected software project data, and it performs better than other algorithms in the prediction with discovered causes of project performance, such as logistic regression, C4.5, Naïve Bayes, and general BNs. This study firstly presents an approach using ANM for many-to-one causality discovery in SPRA and then proves that it is an effective algorithm for analyzing the risk in software project.","PeriodicalId":395610,"journal":{"name":"2014 Ninth International Conference on P2P, Parallel, Grid, Cloud and Internet Computing","volume":"87 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-11-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126891549","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

Mobile Security Apps: Loyal Gaurds or Hypocritical Thieves? 移动安全应用:忠诚的守卫还是虚伪的小偷?

2014 Ninth International Conference on P2P, Parallel, Grid, Cloud and Internet Computing Pub Date : 2014-11-08 DOI: 10.1109/3PGCIC.2014.125

Yonglin Sun, Yongjun Wang, Xiaobin Wang

引用次数: 1

Strain Sensitizing of High-Sensitivity SAW Sensor Based on FBG 基于光纤光栅的高灵敏度SAW传感器应变敏化研究

2014 Ninth International Conference on P2P, Parallel, Grid, Cloud and Internet Computing Pub Date : 2014-11-08 DOI: 10.1109/3PGCIC.2014.63

Zhang Wei

引用次数: 1

OpenSSL HeartBleed: Security Management of Implements of Basic Protocols OpenSSL HeartBleed:基本协议实现的安全管理

2014 Ninth International Conference on P2P, Parallel, Grid, Cloud and Internet Computing Pub Date : 2014-11-08 DOI: 10.1109/3PGCIC.2014.148

Yongle Hao, Yizhen Jia, Baojiang Cui, Wei Xin, Dehu Meng

引用次数: 2

A Decision Support System Using Two-Level Classifier for Smart Grid 基于两级分类器的智能电网决策支持系统

2014 Ninth International Conference on P2P, Parallel, Grid, Cloud and Internet Computing Pub Date : 2014-11-08 DOI: 10.1109/3PGCIC.2014.35

Huajun Chen, Hang Yang, Aidong Xu, Cai Yuan

引用次数: 5

Multiple Nested Schema of HBase for Migration from SQL 从SQL迁移的HBase多嵌套模式

2014 Ninth International Conference on P2P, Parallel, Grid, Cloud and Internet Computing Pub Date : 2014-11-08 DOI: 10.1109/3PGCIC.2014.127

Gansen Zhao, Libo Li, Zijing Li, Qiaoying Lin

{"title":"Multiple Nested Schema of HBase for Migration from SQL","authors":"Gansen Zhao, Libo Li, Zijing Li, Qiaoying Lin","doi":"10.1109/3PGCIC.2014.127","DOIUrl":"https://doi.org/10.1109/3PGCIC.2014.127","url":null,"abstract":"With the development of web application, the demand of query performance and expansion becomes increasingly necessary. Relational database seems hardly handling with this, more and more applications choose migrating to NoSQL database such as HBase. The features of high reliability, high performance, column-oriented storage, high scalability, and real-time read and write, won favor from public. In this paper, we use two concepts Nested and Multiple Nested to describe join keys reference relationship between tables in relational database. Because HBase only support the column family nest the column qualifier, it is hard to deal with the situation of Multiple Nested after data migration from relational database meanwhile ensure high query performance in transformed HBase. We propose a novel HBase schema for migrating from relational database to HBase, which supports multiple nested. With this schema in HBase, query only once on one table for any query is needed to get the data, and query efficiency has been greatly improved, especially for join query. Additionally, index migration is available in this scheme, which supports faster query. Finally, this paper proposes a mapping algorithm to find column name corresponding to attribute in relational database.","PeriodicalId":395610,"journal":{"name":"2014 Ninth International Conference on P2P, Parallel, Grid, Cloud and Internet Computing","volume":"199 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-11-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121888348","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: 22

A Collective Intelligence Approach for Building Student's Trustworthiness Profile in Online Learning 构建在线学习学生诚信档案的集体智慧方法

2014 Ninth International Conference on P2P, Parallel, Grid, Cloud and Internet Computing Pub Date : 2014-11-01 DOI: 10.1109/3PGCIC.2014.132

Jorge Miguel, S. Caballé, F. Xhafa, Josep Prieto, L. Barolli

{"title":"A Collective Intelligence Approach for Building Student's Trustworthiness Profile in Online Learning","authors":"Jorge Miguel, S. Caballé, F. Xhafa, Josep Prieto, L. Barolli","doi":"10.1109/3PGCIC.2014.132","DOIUrl":"https://doi.org/10.1109/3PGCIC.2014.132","url":null,"abstract":"Information and communication technologies have been widely adopted in most of educational institutions to support e-Learning through different learning methodologies such as computer supported collaborative learning, which has become one of the most influencing learning paradigms. In this context, e-Learning stakeholders, are increasingly demanding new requirements, among them, information security is considered as a critical factor involved in on-line collaborative processes. Information security determines the accurate development of learning activities, especially when a group of students carries out on-line assessment, which conducts to grades or certificates, in these cases, IS is an essential issue that has to be considered. To date, even most advances security technological solutions have drawbacks that impede the development of overall security e-Learning frameworks. For this reason, this paper suggests enhancing technological security models with functional approaches, namely, we propose a functional security model based on trustworthiness and collective intelligence. Both of these topics are closely related to on-line collaborative learning and on-line assessment models. Therefore, the main goal of this paper is to discover how security can be enhanced with trustworthiness in an on-line collaborative learning scenario through the study of the collective intelligence processes that occur on on-line assessment activities. To this end, a peer-to-peer public student's profile model, based on trustworthiness is proposed, and the main collective intelligence processes involved in the collaborative on-line assessments activities, are presented.","PeriodicalId":395610,"journal":{"name":"2014 Ninth International Conference on P2P, Parallel, Grid, Cloud and Internet Computing","volume":"78 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125423283","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: 7