Development methodologies for IoT-based systems: challenges and research directions

Miguel J. Hornos, Mario Quinde
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基于物联网系统的开发方法:挑战与研究方向
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来源期刊
Journal of Reliable Intelligent Environments
Journal of Reliable Intelligent Environments Computer Science-Computer Networks and Communications
CiteScore
9.00
自引率
0.00%
发文量
29
期刊介绍: “Intelligent Environments (IEs)” is growing fast as a multi-disciplinary field allowing many areas of research to have a real beneficial influence in our society. The basic idea behind these systems is that by enriching an environment with technology (sensors, processors, actuators, information terminals, and other devices interconnected through a network), a system can be built such that based on the real-time information gathered and the historical data accumulated, decisions can be taken to benefit the users of that environment. Expected benefits of this technology can be: (a) increasing safety (e.g., by monitoring lifestyle patterns or the latest activities and providing assistance when a possibly harmful situation is developing), (b) comfort (e.g., by adjusting temperature automatically), and (c) economy (e.g., controlling the use of lights). The Journal on Reliable Intelligent Environments focuses on theoretical developments and lessons learnt on the deployment of IEs.  The broad areas represented in the journal reflect the fact that reliability of software systems is the result of a number of approaches combined so an overarching principle of our publication will be to be open and flexible to embrace all type of techniques which can increase confidence in Intelligent Environments systems: selection, installation and calibration of equipmentdeployment and maintenance problemsrequirementsmodelingsimulationtestingvalidationformal verificationpeople-centred computingtoolspilots designsoftware development processsecurityprivacyusabilitysafetyperformancequality of servicelarge-scale integrationscalabilityadaptiveness and autonomicity
期刊最新文献
Development methodologies for IoT-based systems: challenges and research directions A survey on graph neural network-based next POI recommendation for smart cities Surveying neuro-symbolic approaches for reliable artificial intelligence of things An efficient approach of epilepsy seizure alert system using IoT and machine learning Secure electronic monitoring of sex offenders
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