Abstract: Aspects of the present invention include a method, system and computer program product. The method includes obtaining, by a processor, customer data relating to a software workload environment of a customer, and obtaining, by the processor, test data relating to a test of a software system. The method also includes comparing, by the processor, the obtained customer data with the obtained test data to determine one or more statistical measures between the obtained customer data and the obtained test data, and displaying, by the processor, the determined one or more statistical measures between the obtained customer data and the obtained test data. The method further includes wherein the customer data contains multiple data points arranged in groups of analysis points, and wherein the test data contains multiple data points arranged in groups of analysis points.

Abstract: Aspects of the present invention include a method, system and computer program product for utilizing various data to determine the effectiveness of a software testing procedure. The method includes preloading, by a processor, into a database data related to workloads and workload data, data related to analysis points, and customer data. The method also includes determining, by the processor, whether to modify a workload model, to run a workload or to perform one of post processing analytics or run time analytics. The method further includes performing, by the processor, one of post processing analytics or run time analytics of the data preloaded into the database.

Abstract: Embodiments include method, systems and computer program products for identifying dependency relationships in a software product. Aspects include obtaining change history data for the software product and extracting a plurality of change elements from the change history data, each change element including an identifier of a code segment that was changed and a timestamp of the change. Aspects also include creating a dependency graph based on the plurality of change elements, wherein the dependency graph includes nodes that correspond to the code segments and edges that connect nodes that were both updated in a same logical grouping, calculating a weight for each of the edges based on probability that the nodes connected by the edge will be updated together, and outputting the dependency graph.

Abstract: An aspect of providing augmented reality model comparison and deviation detection includes receiving a three-dimensional (3D) model of an object that is associated with a domain, determining a set of characteristics of the object from the 3D model, and searching a domain-specific database for data matching the set of characteristics. The domain-specific database corresponds to the domain associated with the object. An aspect also includes determining an identification of the object from data in the domain-specific database that matches the set of characteristics. For each characteristic in the set of characteristics, and aspect further includes comparing each value of the characteristic to a corresponding value in the matching data of the domain-specific database, and calculating any variation between the corresponding value of the characteristic and the value of the matching data. Another aspect includes creating a searchable index of the matching data and corresponding variations.

Abstract: An active workstation is provided and includes a first support element, a computing device to which peripheral devices, which are movably disposed on the first support element, are coupled and a second support element movably disposed proximate to the first support element. The computing device includes a processing unit and a memory having executable instructions stored thereon. When executed, the executable instructions cause the processing unit to facilitate respective operations and movements of the peripheral devices and the second support element in accordance with a user profile.

Abstract: A computer-implemented method includes determining that network connectivity does not exist for a mobile data network. The computer-implemented method further includes initiating, via a wireless peer to peer communication protocol, a scan request to identify one or more peer devices, wherein each of one or more peer devices have a readiness score. The computer-implemented method further includes generating a routing table. The routing table includes the one or more peer devices located within a threshold distance. The computer-implemented method further includes generating a forwarding table. The forwarding table includes the one or more peer devices of the routing table that have a readiness score that exceeds a given threshold. The computer-implemented method further includes transmitting a data packet to each of the one or more peer devices of the forwarding table. A corresponding computer program product and computer system are also disclosed.

Abstract: A method, computer program product, and system for object location managing. The method including generating a first list including one or more personal objects based on a personal schedule of a user, generating a second list including one or more personal objects physically located within a predefined range of a checkpoint, comparing the first list to the second list to determine which personal objects are on both lists and which personal objects are missing, if any, from the second list, and notifying the user with the results of the comparison between the first list and the second list by activating an alarm.

Abstract: An active workstation is provided and includes a first support element, a computing device to which peripheral devices, which are movably disposed on the first support element, are coupled and a second support element movably disposed proximate to the first support element. The computing device includes a processing unit and a memory having executable instructions stored thereon. When executed, the executable instructions cause the processing unit to facilitate respective operations and movements of the peripheral devices and the second support element in accordance with a user profile.

Abstract: An active workstation is provided and includes a first support element, a computing device to which peripheral devices, which are movably disposed on the first support element, are coupled and a second support element movably disposed proximate to the first support element. The computing device includes a processing unit and a memory having executable instructions stored thereon. When executed, the executable instructions cause the processing unit to facilitate respective operations and movements of the peripheral devices and the second support element in accordance with a user profile.

Abstract: A method, computer program product, and system for object location managing. The method including generating a first list including one or more personal objects based on a personal schedule of a user, generating a second list including one or more personal objects physically located within a predefined range of a checkpoint, comparing the first list to the second list to determine which personal objects are on both lists and which personal objects are missing, if any, from the second list, and notifying the user with the results of the comparison between the first list and the second list by activating an alarm.

Abstract: An approach for augmenting a teleconference based on cognitive computing. A teleconference transcript is created based on speech-to-text conversion. A portion of the teleconference transcript is replaced based on a substitute word store and on cognitive computing text substitution. A second teleconference transcript and text-to-speech conversion creates augmented real-time audio. Participant audio and augmented audios are combined to create and output augmented audio to teleconference participants. Audio augmentation includes noise reduction, volume normalization, content change and natural language translation.

Abstract: Embodiments include method, systems and computer program products for performing summarization of a recording based on biometric and business process data. Aspects include receiving a recording of a customer service representative performing a task, receiving a biometric data from a sensor configured to monitor the customer service representative during the performance of the task and obtaining a business process data relating to one or more of the task and the customer service representative. Aspects also include identifying one or more portions of interest from the recording based on one or more of the biometric data and the business process data and compiling the one or more portions of interest into a summarization of the task.

Abstract: Embodiments include method, systems and computer program products for performing summarization of a recording based on biometric and business process data. Aspects include receiving a recording of a customer service representative performing a task, receiving a biometric data from a sensor configured to monitor the customer service representative during the performance of the task and obtaining a business process data relating to one or more of the task and the customer service representative. Aspects also include identifying one or more portions of interest from the recording based on one or more of the biometric data and the business process data and compiling the one or more portions of interest into a summarization of the task.

Abstract: An aspect of providing augmented reality model comparison and deviation detection includes receiving a three-dimensional (3D) model of an object that is associated with a domain, determining a set of characteristics of the object from the 3D model, and searching a domain-specific database for data matching the set of characteristics. The domain-specific database corresponds to the domain associated with the object. An aspect also includes determining an identification of the object from data in the domain-specific database that matches the set of characteristics. For each characteristic in the set of characteristics, and aspect further includes comparing each value of the characteristic to a corresponding value in the matching data of the domain-specific database, and calculating any variation between the corresponding value of the characteristic and the value of the matching data. Another aspect includes creating a searchable index of the matching data and corresponding variations.