Abstract: A computer-implemented system and method provide for a tagging user (TU) device that determines a first location of the TU device and receives, in the first location, a selection of a real-world object from a TU who views the object through the TU device. The TU device receives, from a TU, tagging information to attach to the object, and captures descriptive attributes of the object. The descriptive attributes and the tagging information associated with the first location are stored in a tagged object database.

Abstract: A computer-implemented method includes a processor extracting data and metadata from a process model, where the process is comprised of activities and the metadata is associated with each activity. The processor generates at least one user story for at least one activity, where the at least one user story includes an estimate attribute reflecting a predicted timeframe for completion of at least a portion of the at least one activity. The processor updates the model to reflect the at least one user story and displays the updated model as a project plan in a project management interface on a computing resource. The processor assigns a resource to the at least one user story and dynamically updates the estimate attribute of the at least one user story to reflect a new predicted timeframe, calculates impacts to the process and displays the impacts and the new predicted timeframe in the project management interface.

Abstract: A computer-implemented system and method provide for a tagging user (TU) device that determines a first location of the TU device and receives, in the first location, a selection of a real-world object from a TU who views the object through the TU device. The TU device receives, from a TU, tagging information to attach to the object, and captures descriptive attributes of the object. The descriptive attributes and the tagging information associated with the first location are stored in a tagged object database.

Abstract: A computer-implemented method includes a processor extracting data and metadata from a process model, where the process is comprised of activities and the metadata is associated with each activity. The processor generates at least one user story for at least one activity, where the at least one user story includes an estimate attribute reflecting a predicted timeframe for completion of at least a portion of the at least one activity. The processor updates the model to reflect the at least one user story and displays the updated model as a project plan in a project management interface on a computing resource. The processor assigns a resource to the at least one user story and dynamically updates the estimate attribute of the at least one user story to reflect a new predicted timeframe, calculates impacts to the process and displays the impacts and the new predicted timeframe in the project management interface.