典型文献
Simulation Might Change Your Results:A Comparison of Context-Aware System Input Validation in Simulated and Physical Environments
文献摘要：
Context-aware systems(a.k.a.CASs)integrate cyber and physical space to provide adaptive functionalities in response to changes in context.Building context-aware systems is challenging due to the uncertain running environment.Therefore,many input validation approaches have been proposed to protect context-aware systems from uncertainty and keep them executing safely.However,in contrast to context-aware systems'prevailing in physical environments,most of those academic solutions(83％)are purely evaluated in simulated environments.In this article,we study whether this evaluation setting could lead to biased conclusions.We build a testing platform,RM-Testing,based on DJI RoboMaster robot car,to conduct the physical-environment based experiments.We select three up-to-date input validation approaches,and compare their performance in the simulated environment and in the physical environment.The experimental results show that all three approaches'performance in simulated environments(improving task success rate by 82％compared with the system without the support of input validation)does differ from their performance in a physical environment(improving the task success rate by 50％).We also recognize three factors(scenario setting,physical platform and environmental model)that affect the performance of input validation approaches,based on an execution model of the context-aware system.
文献关键词：
中图分类号：
作者姓名：
Jin-Chi Chen;Yi Qin;Hui-Yan Wang;Chang Xu
作者机构：
State Key Laboratory for Novel Software Technology,Nanjing University,Nanjing 210023,China
文献出处：
引用格式：
[1]Jin-Chi Chen;Yi Qin;Hui-Yan Wang;Chang Xu-.Simulation Might Change Your Results:A Comparison of Context-Aware System Input Validation in Simulated and Physical Environments)[J].计算机科学技术学报（英文版）,2022(01):83-105
A类：
CASs
B类：
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AB值：
0.568102
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机标中图分类号，由域田数据科技根据网络公开资料自动分析生成，仅供学习研究参考。
