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Home > english-chinese > "engineering methodology" in Chinese

Chinese translation for "engineering methodology"

工程方法论

Related Translations:
projection methodology:  预测方法
imputation methodology:  估算价值的方法转嫁方法论
analysis methodology:  分析方法论
geodetic methodologies:  大地测量方法
planning methodology:  规划方法学
model methodology:  模式研究法
general methodology:  普通方法学
methodology weight:  方法重量
additional methodologies:  新的(研究)方法新的方法
elt methodology:  英语教学法
Example Sentences:
1.The application of the software covers more and more widely with the improvement of the theory of software engineering methodologies and the ripeness of the software developer
随着软件工程方法学理论的进步、软件开发人员的成熟,计算机软件的应用覆盖面越来越大。
2.Modern software development adopts engineering methodology to manage developing of software , it emphasizes on the software quality control and try to reduce the risk in software development by taking appropriate measures
现代软件开发采用工程化的方法对开发活动进行管理,重视对质量的控制,采取相关的措施降低开发风险。
3.Service engineering methodology was discussed and reviewed from its five components of the framework , namely service meta - model , service modeling approach , service system development approach , service performance evaluation , and relevant supporting tools
依据该框架的服务元模型、服务建模、服务系统构建、服务性能评价和相关支持工具五个要素,综述了服务工程方法。
4.The most advance software - engineering methodology was presented , for example the oop , com , compiler technology and so on . , which are used to design and develop the component modeling and simulation application framework of the tgcs
本论文仿真软件的实现采用了最先进的软件工程方法? ?面向对象技术、组件技术、编译技术,由此设计和开发了的鱼雷制导系统仿真环境。
5.Now , the development of management information system ( mis ) is guided by information engineering methodology whose base idea is that data is the center of information processing and data is steady but processing is changeable . the method is important to program , analyze and design mis
目前,管理信息系统( mis )的开发大部分采用信息工程方法论为指导,它的基本思想和原则是:数据位于现代信息处理中心,数据是稳定的,而处理是多变的。
6.According to the requirements of operation of blast furnace and software engineering methodology , the properties and function of prototype of prediction system have been analyzed and hierarchical structure and data flow and data processing in the system have been outlined by using data flow diagram
根据高炉生产的需求以及软件工程理论,系统分析了预测软件的性能要求与模块组成,以系统数据流程图逐层分析了信息流在软件系统中的流动、变换和处理情况。
7.Uml is the convergence of best practices in the object - technology industry . and it is a rich ; precise , extensible modeling language for object - oriented system development and software developing automation environments . uml is the representation of excellent software engineering methodology which is approbatory in large - scale and complex modeling field
它涵盖了面向对象的分析、设计和实现,融合了早期面向对象建模方法和各种建模语言的优点;为面向对象系统的开发、软件自动化工具与环境提供了丰富的、严谨的、扩充性强的表达方式。
8.Also , the existing problems are formulized to illustrate the applying situation of iec61499 standard in our country . secondly , a complex application system is constructed based on the iec61499 standard and model - view - control ( mvc ) design pattern , and then , a related engineering methodology is introduced
在iec61499标准和模型-视图-控制器( mvc )设计模式的基础上,构造了一个较为复杂的控制应用系统,并由此摸索出一套基于mvc设计模式的功能块系统设计方法。
9.In this thesis , a new model used for prediction of silicon content in hot metal based on self - organized experience evolution approach has been investigated by developing prototype of the model with software engineering methodology , optimizing model parameters and testing it with process data of blast furnace in tianjin iron plant
针对目前铁水硅含量预测方法尚不能满足高炉过程控制需要的现状,根据所提出的高炉铁水硅含量自组织经验进化预测模型原理,用软件工程方法学设计和开发了相应软件原型,并从理论和实践角度对这种新的智能预测模型进行了研究。
10.However , existing models till now which used for the prediction and controlling of silicon content in hot metal could n ' t meet the requirement to control such a complex processing of blast furnace . in this thesis , a new model used for predicting and controlling silicon content in hot metal based on artificial neural networks ( anns ) and expert system has been investigated by developing prototype of the model with software engineering methodology , after inquiring about the parameters which could affect silicon content in hot metal with the operators of blast furnace
本研究即是针对目前硅含量的预报和控制方法不能满足实际高炉生产过程控制需要,在对高炉铁水硅含量影响因素及控制知识进行收集、分析的基础上,结合铁水硅含量控制过程中的诸多不确定因素,提出了将神经网络、专家系统共同作用于高炉铁水硅含量的预报、控制模型。
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