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2017 6th International Conference on Software Process Improvement (CIMPS)最新文献

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Next generation systems — Commercial software and free software comparative based on IDPS security 下一代系统-基于IDPS安全性的商业软件和自由软件的比较
Pub Date : 2017-10-01 DOI: 10.1109/CIMPS.2017.8169949
Jezreel Mejia Miranda, F. A. P. Mtz
Threats within the network are a security risk with which you deal daily. Due to this, the use of more complex means of security than the Firewall should be considered to perform the analysis of the traffic behavior of the network by means of devices of next generation such as Systems of Detection and Prevention of Intrusions (IDPS). This article presents a comparison of commercial systems and open sources based on these devices, and thus transfer a commercial functionality to free code.
网络中的威胁是您每天都要处理的安全风险。因此,应该考虑使用比防火墙更复杂的安全手段,通过诸如入侵检测和预防系统(IDPS)等下一代设备来执行网络流量行为分析。本文介绍了基于这些设备的商业系统和开放源代码的比较,从而将商业功能转移到自由代码中。
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引用次数: 0
Big data visualization: Review of techniques and datasets 大数据可视化:技术和数据集回顾
Pub Date : 2017-10-01 DOI: 10.1109/CIMPS.2017.8169944
Luis Eder Velázquez Peña, Lisbeth Rodríguez Mazahua, G. A. Hernández, Beatriz Alejandra Olivares Zepahua, S. G. P. Camarena, Isaac Machorro Cano
In the last 20 years the term of Big Data took strength which refers to datasets that in size exceed the ability of typical database tools to capture store manage and analyze. Big Data visual analysis is a new field that is emerging as a powerful tool for extracting useful information. This paper discusses the revision of 83 articles on visualization techniques for Big Data of the last six years for the future realization of a comparative analysis of these techniques and to determine which are the most optimistic when analyzing Big Data.
在过去的20年里,大数据一词得到了广泛的应用,它指的是数据集的规模超过了典型数据库工具捕获、存储、管理和分析的能力。大数据可视化分析是一个新兴的领域,它是一种提取有用信息的强大工具。本文讨论了对过去六年中关于大数据可视化技术的83篇文章的修订,以便将来实现对这些技术的比较分析,并确定哪些技术在分析大数据时最乐观。
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引用次数: 6
Reinforcing DevOps approach with security and risk management: An experience of implementing it in a data center of a mexican organization 通过安全性和风险管理加强DevOps方法:在墨西哥组织的数据中心实现它的经验
Pub Date : 2017-10-01 DOI: 10.1109/CIMPS.2017.8169957
O. Díaz, M. Muñoz
Nowadays the importance of the term DevOps (Developer Operations) has increased around the world, and Mexico is not the exception. This paper describes the implementation of information security and risk management best practices in a DevOps approach established in a Data Center of a large government organization of Mexico. The DevOps approach with security and risk management practices was named as DevSecOps + Risk Management and it aims to produce a strategy among automatize operation within the organization or enterprise using information technologies, software engineering and quality controls, so that, it allows managing work flows, version control, software product release, risk management and security reinforcement, considering people and technology.
如今,DevOps(开发人员操作)一词在世界范围内的重要性与日俱增,墨西哥也不例外。本文描述了在墨西哥一家大型政府组织的数据中心建立的DevOps方法中信息安全和风险管理最佳实践的实现。具有安全和风险管理实践的DevOps方法被命名为DevSecOps +风险管理,它旨在使用信息技术、软件工程和质量控制在组织或企业内产生自动化操作的策略,因此,它允许管理工作流、版本控制、软件产品发布、风险管理和安全强化,考虑到人员和技术。
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引用次数: 6
Proposal of methodology for a data WareHousing process: Use case: Generation of indicators of academic productivity of a university) 数据仓库过程的方法建议:用例:大学学术生产力指标的生成)
Pub Date : 2017-10-01 DOI: 10.1109/CIMPS.2017.8169943
Wilson Castillo-Rojas, Q. Medina, M. Farina
The article describes the methodology developed for a data warehousing process developed in a Chilean University. The purpose of the process is to generate indicators of academic productivity. For this a methodology is elaborated integrating diverse approaches techniques and methodologies such as: specification of information requirements relational modeling combined development model of Kimball and Hefesto proposals process of extraction-transformation-load (ETL) with a validation phase of indicators and integrated and interactive visualizations for the multidimensional analysis of the indicators with the use of dashboards. In this process three elements incorporated that in the opinion of the development team favored the success and effectiveness of the development of the solution. Firstly how to specify key performance indicators (KPI) in detail through the development of a template based on those used to specify information requirements in a software process. Second to explain the incorporation of a validation phase of the KPI obtained in the ETL process based on SQL (Structured Query Language) and the comparison with the data of the operational systems. Also in this ETL process is established as necessary and sufficient the use of a temporary repository as an area for data integration through a relational database. Thirdly integrated visualizations configured with an On-Line Analytical Processing (OLAP) tool which interactively display the related indicators for the same activity under analysis. Because of this data warehousing process you get a business intelligence platform based on a DataMart model with two schemes one star and another snowflake. The first contains the indicators of teacher productivity and the second those of scientific productivity which satisfy the specifications of the KPI and defined in agreement with the end users.
本文描述了为智利一所大学开发的数据仓库过程开发的方法。这个过程的目的是产生学术生产力的指标。为此,详细阐述了一种方法,集成了各种方法,技术和方法,例如:信息需求规范,关系建模,Kimball和Hefesto的组合开发模型,建议提取-转换-加载(ETL)过程,具有指标的验证阶段,以及使用仪表板对指标进行多维分析的集成和交互式可视化。在这个过程中,在开发团队的意见中,三个元素被合并在一起,有利于解决方案开发的成功和有效性。首先,如何根据软件过程中用于指定信息需求的关键绩效指标,通过开发一个模板来详细指定关键绩效指标(KPI)。其次,解释在基于SQL(结构化查询语言)的ETL过程中获得的KPI的验证阶段的合并,并与操作系统的数据进行比较。此外,在此ETL过程中建立了必要和充分的使用临时存储库作为通过关系数据库进行数据集成的区域。第三,集成的可视化配置了一个在线分析处理(OLAP)工具,它可以交互式地显示被分析的同一活动的相关指标。由于这个数据仓库流程,您将获得一个基于DataMart模型的商业智能平台,该模型具有两种方案:一颗星和另一颗雪花。前者包含教师生产力指标,后者包含满足KPI规范并与最终用户一致定义的科学生产力指标。
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引用次数: 0
Mahi: Support tool for practicing first-degree alebraic equations Mahi:练习一次代数方程的辅助工具
Pub Date : 2017-10-01 DOI: 10.1109/CIMPS.2017.8169948
Yonathan A. Martínez Padilla, S. Vázquez-Reyes, Alejandro Mauricio González, Alejandra García Hernández
Math's are fundamental in all our activities inclusive daily activities. Dominate them is a challenge to people for all the ages because all this reasons we design and implement a tool that is based in a gamification that permit trough to game to get better the math skills specifically equations of first grade. It prove that students get better skills in resolve equations of first grade using Mahi. Therefore could be a complement for all the students that are studying some course of algebra because all the practice increase the ability to resolve it.
数学是我们所有活动包括日常活动的基础。控制它们对所有年龄段的人来说都是一个挑战,因为所有这些原因,我们设计并实施了一个基于游戏化的工具,允许通过游戏来提高数学技能,特别是一年级的方程式。结果表明,使用Mahi,学生在解一年级方程方面有较好的效果。因此可以作为所有学习代数课程的学生的补充因为所有的练习都提高了解题的能力。
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引用次数: 0
Lifecycle coverage analysis via multi-agent system methodology 通过多代理系统方法进行生命周期覆盖分析
Pub Date : 2017-10-01 DOI: 10.1109/CIMPS.2017.8169956
Nathal Dawson-Díaz, V. Vega-Zepeda
Currently multi-agent systems represent the great potential reached by industrial technology solving highly complex problems and reducing costs. This paper deals with the analysis of the lifecycle coverage of the most relevant methodologies concerning multi-agent systems development. It aims to show that there is no standardized process for creating multi-agent systems so far and even many methodologies do not include the whole lifecycle a problem that has not allowed industry using this technology thoroughly. It is also important to mention that this research work is the first part of the creation of a framework for the design quality management of multi-agent systems. The framework will allow the creation of a quality multi-agent system independently of the chosen methodology to develop it.
目前,多智能体系统代表了工业技术解决高度复杂问题和降低成本的巨大潜力。本文对多智能体系统开发中最相关的方法的生命周期覆盖进行了分析。它的目的是表明,到目前为止,还没有创建多智能体系统的标准化过程,甚至许多方法都不包括整个生命周期,这是一个不允许行业彻底使用该技术的问题。同样重要的是,这项研究工作是创建多智能体系统设计质量管理框架的第一部分。该框架将允许独立于所选择的开发方法创建高质量的多代理系统。
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引用次数: 2
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2017 6th International Conference on Software Process Improvement (CIMPS)
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