Abstract: A method for addressing anomalies in an Internet of things (IOT) device, the IOT device being a part of a mobile cluster is described. The method comprises determining whether the IOT device produces an anomaly based at least on a first machine learning model, determining adjustments for recommending in functioning of the IOT device based at least on a second machine learning model in response to a determination that the IOT device produces the anomaly, sending the recommended adjustments to one or more user devices that are a part of the mobile cluster for loading the recommended adjustments on to the mobile cluster, and receiving a selection of one or more of the recommended adjustments from the one or more user devices for facilitating addressal of the anomaly in the IOT device.

Abstract: Systems, methods and computer program products for mobile device application design are described herein. The method accesses a data model corresponding to a selected mobile platform. The data model is used by a device application designer to generate, model, and debug a mobile application. The data model is used to take into consideration characteristics of the selected platform and a selected mobile device as the application is designed. The application is structured and generated for a selected platform that is independent of the data model, but is cognizant of the selected platform. A simulator models the application user interface (UI) as it will appear on the selected platform. The method performs platform-specific validation and allows for correction of various aspects of a generated application including platform-specific features. The tool generates a graphical image that can guide a developer to either generated code or help files corresponding to framework libraries.

Abstract: Systems, methods and computer program products for mobile device application design are described herein. The method accesses a data model corresponding to a selected mobile platform. The data model is used by a device application designer to generate, model, and debug a mobile application. The data model is used to take into consideration characteristics of the selected platform and a selected mobile device as the application is designed. The application is structured and generated for a selected platform that is independent of the data model, but is cognizant of the selected platform. A simulator models the application user interface (UI) as it will appear on the selected platform. The method performs platform-specific validation and allows for correction of various aspects of a generated application including platform-specific features. The tool generates a graphical image that can guide a developer to either generated code or help files corresponding to framework libraries.