| Title |
An Intelligent Assistant for Converting City Requirements to Formal Specification |
| ID_Doc |
43201 |
| Authors |
Chen, ZR; Li, I; Zhang, HX; Preurn, S; Stankovic, JA; Ma, MY |
| Title |
An Intelligent Assistant for Converting City Requirements to Formal Specification |
| Year |
2022 |
| Published |
|
| DOI |
10.1109/SMARTCOMP55677.2022.00043 |
| Abstract |
As more and more monitoring systems have been deployed to smart cities, there comes a higher demand for converting new human-specified requirements to machine-understandable formal specifications automatically. However, these human-specific requirements are often written in English and bring missing, inaccurate, or ambiguous information. In this paper, we present CitySpec [1], an intelligent assistant system for requirement specification in smart cities. CitySpec not only helps overcome the language differences brought by English requirements and formal specifications, but also offers solutions to those missing, inaccurate, or ambiguous information. The goal of this paper is to demonstrate how CitySpec works. Specifically, we present three demos: (1) interactive completion of requirements in CitySpec; (2) human-in-the-loop correction while CitySepc encounters exceptions; (3) online learning in CitySpec. |
| Author Keywords |
Requirement Specification; Intelligent Assistant; Monitoring; Smart City |
| Index Keywords |
Index Keywords |
| Document Type |
Other |
| Open Access |
Open Access |
| Source |
Conference Proceedings Citation Index - Science (CPCI-S) |
| EID |
WOS:000853867900027 |
| WoS Category |
Computer Science, Artificial Intelligence; Computer Science, Theory & Methods |
| Research Area |
Computer Science |
| PDF |
http://arxiv.org/pdf/2206.07152
|