Abstract: The disclosure describes techniques for generating device recommendations. The techniques include registering a plurality of Internet of Things (IoT) devices in a social IoT network, where each device performs one or more tasks and the one or more tasks include a first task. The techniques include periodically receiving, with the social IoT network, a work profile from one or more of the registered devices. The work profile includes device information associated with the one or more device tasks performed by the respective registered device. The techniques include grouping devices performing the first task into groups of similar devices, identifying, based on the device information in the work profile received from one or more of the registered devices, at least one device from the group of devices for which recommendations are to be provided, generating the recommendations for the identified device, and providing the recommendations for the identified device.

Abstract: A method and system for replacing a hardware device is provided. The method includes detecting current utilization attributes of an Internet of things (IOT) device connected to a server device through a network. Recommended utilization attributes of the IOT device are retrieved and analyzed with respect to the current utilization attributes. It is determined that the current utilization attributes do not equal a threshold value associated with the recommended utilization attributes and optimal utilization attributes for replacing the IOT device are determined. A network based search for locating a replacement IOT device is executed and associated results are presented to a user. A resulting process for securing the replacement device is executed.

Abstract: The disclosure describes techniques for generating device recommendations. The techniques include registering a plurality of Internet of Things (IoT) devices in a social IoT network, where each device performs one or more tasks and the one or more tasks include a first task. The techniques include periodically receiving, with the social IoT network, a work profile from one or more of the registered devices. The work profile includes device information associated with the one or more device tasks performed by the respective registered device. The techniques include grouping devices performing the first task into groups of similar devices, identifying, based on the device information in the work profile received from one or more of the registered devices, at least one device from the group of devices for which recommendations are to be provided, generating the recommendations for the identified device, and providing the recommendations for the identified device.

Abstract: A developer is monitored by at least one sensor, and developer data is gathered from the at least one sensor. Code change data is gathered for changes made by the monitored developer to at least one area of code, and the code change data is mapped to the developer data. Test cases are run to test the at least one area of code, and to identify failed test cases. Code change data corresponding to the failed test cases is also identified, as well as developer data mapped to the corresponding code change data. Further, a prediction model that correlates test case failure with the developer data is generated. The prediction model is used to generate probabilities of failure for test cases based on a new developer data mapped to new code test data.

Abstract: Approaches for automatically and dynamically changing message classification and priority based on Internet-Of-Things (IOT) device publication are provided. A computer-implemented method includes: receiving, by a computer device, a device status message from an Internet-of-Things (IOT) device; receiving, by the computer device, a message from a message server; assigning, by the computer device, a priority to the message based on the device status message from the IOT device; and communicating, by the computer device, the assigned priority of the message to the message server.

Abstract: Approaches for automatically and dynamically changing message classification and priority based on Internet-Of-Things (IOT) device publication are provided. A system includes: a CPU, a computer readable memory, and a computer readable storage medium; program instructions to receive a device status message from an Internet-of-Things (IOT) device; program instructions to determine a categorization of the device status message; program instructions to determine a classification of an email message; program instructions to compare the categorization of the device status message to the classification of the email message; and program instructions to assign a priority to the email message based on the comparing. The program instructions are stored on the computer readable storage medium for execution by the CPU via the computer readable memory.

Abstract: A method and system for replacing a hardware device is provided. The method includes detecting current utilization attributes of an Internet of things (IOT) device connected to a server device through a network. Recommended utilization attributes of the IOT device are retrieved and analyzed with respect to the current utilization attributes. It is determined that the current utilization attributes do not equal a threshold value associated with the recommended utilization attributes and optimal utilization attributes for replacing the IOT device are determined. A network based search for locating a replacement IOT device is executed and associated results are presented to a user. A resulting process for securing the replacement device is executed.

Abstract: Approaches for automatically and dynamically changing message classification and priority based on Internet-Of-Things (IOT) device publication are provided. A system includes: a CPU, a computer readable memory, and a computer readable storage medium; program instructions to receive a device status message from an Internet-of-Things (IOT) device; program instructions to determine a categorization of the device status message; program instructions to determine a classification of an email message; program instructions to compare the categorization of the device status message to the classification of the email message; and program instructions to assign a priority to the email message based on the comparing. The program instructions are stored on the computer readable storage medium for execution by the CPU via the computer readable memory.

Abstract: Approaches for automatically and dynamically changing message classification and priority based on Internet-Of-Things (IOT) device publication are provided. A computer-implemented method includes: receiving, by a computer device, a device status message from an Internet-of-Things (IOT) device; receiving, by the computer device, a message from a message server; assigning, by the computer device, a priority to the message based on the device status message from the IOT device; and communicating, by the computer device, the assigned priority of the message to the message server.