智慧城市精益软件和系统工程工具的概念选择

A. Redmond, A. Zarli
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引用次数: 3

摘要

对智慧城市假设的综合理解是,这些项目是城市现代化总体概念的一部分。然而,智慧城市项目不应该被孤立地看待,而应该作为一个城市(或一个地区)不断努力寻找下一个最佳运营方式的一个因素。本文评估了与敏捷技术实践的系统开发相关的问题,以开发可持续城市环境的物联网解决方案。作为分析的一部分;本文研究了通用生命周期阶段的传统方法;城市信息学发展的迭代与递归、顺序方法、增量与迭代方法。分布式自动化系统架构的功能设计是基于这样的理论提出的:团队成员(如软件工程师、数据专家、安全工程师、测试人员和其他专家)需要自组织并接受失败的确定性。作者认为,通过使用敏捷技术来减少对失败的恐惧,并接受这样一种理念,即目标应该是不断地进行实验,尽早和经常地失败,并在过程中尽可能多地学习,从而产生更集成的服务。最终的结果是一个混合模型,作为IV&V过程分析实践的一部分,以便为智慧城市开发增值解决方案。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The concept selection of lean software and system engineering tools for smart cities
An integrated understanding of the Smart City hypothesis, is that these projects are a part of a general concept of city modernisation. However, smart city projects should never be seen in isolation, but as one element in a city's (or a region's) continuous effort to find the next best way of operations. This paper evaluates the problems associated with the systems development of Agile technical practices for developing IoT solutions for sustainable urban environments. As part of this analysis; this paper investigates the traditional methods of generic lifecycle stages; iteration and recursion, sequential methods, and incremental and iterative methods for developing urban informatics. The functional design of a distributed automated system architecture is presented based on the theory that team members such as software engineers, data specialists, security engineers, testers, and other specialists need to be self-organized and embrace the certainty of failure. The authors' identify that by using Agile techniques to decrease fear of failure and embrace the notion that the goal should be to experiment constantly, fail early and often, and learn as much as possible in the process can produce a more integrated service. The end result is a hybrid model presented as part of a process analysis practice for IV&V in order to develop value added solutions for Smart Cities.
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