| Title |
The Concept Selection of Lean Software and System Engineering Tools for Smart Cities |
| ID_Doc |
40434 |
| Authors |
Redmond, AM; Zarli, A |
| Title |
The Concept Selection of Lean Software and System Engineering Tools for Smart Cities |
| Year |
2017 |
| Published |
|
| DOI |
|
| Abstract |
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. |
| Author Keywords |
Agile Development; Scrum & Kanban; Smart City Requirements; Systems Engineering; IoT |
| Index Keywords |
Index Keywords |
| Document Type |
Other |
| Open Access |
Open Access |
| Source |
Conference Proceedings Citation Index - Science (CPCI-S) |
| EID |
WOS:000464318300006 |
| WoS Category |
Computer Science, Interdisciplinary Applications; Engineering, Electrical & Electronic |
| Research Area |
Computer Science; Engineering |
| PDF |
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