- 软体工程方法论
- methodology (software engineering): 程序设计方法学
- software methodology: 软件方法学; 软件设计方法学
- engineering methodology: 工程方法论
- software design methodology: 软件设计方法学
- software development methodology: 软件开发方法
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software engineering methodology中文什么意思
- 软体工程方法论
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例句与用法
- 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。 - 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。 - 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。 - 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。 - 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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