Abstract: The current disclosure relates to a system and method for assessing a candidate for identifying a successful remote employee based on a textual interaction between a recruiter and the candidate over a mobile messaging platform. The method includes a step of receiving, by a computation machine, text strings from computing devices of the candidate and the recruiter. The computation machine includes processors and an objective function module. The method includes a step of processing one or more text strings for determining a probability that the candidate matches the query string using the computation machine. The method includes a step of generating, by the objective function module, an output score by determining a probability that the text strings match an employment requirement data stored in a memory. The objective function module identifies the successful remote employee based on the output score.

Abstract: The present invention extends to methods, systems, and computer program products for processing model based commands for distributed applications. Embodiments facilitate execution of model-based commands, including software lifecycle commands, using model-based workflow instances. Data related to command execution is stored in a shared repository such that command processors can understand their status in relationship to workflow instances. Further, since the repository is shared, command execution can be distributed and balanced across a plurality of different executive services. Embodiments also include model-based error handling and error recovery mechanisms.

Abstract: A system for automatically implementing high-level instructions in a distributed application program, where the high-level instructions reflect the behavior of the distributed application program, includes at least a tools component. The tools component is used to write high-level instructions in the form of declarative models, and place them in a repository. An executive component then receives the declarative models from the repository and refines them (e.g., via progressive elaboration) until there are no ambiguities. A platform-specific driver then translates the commands from the executive component, effectively turning the declarative model instructions into a set of imperative actions to be implemented in one or more application containers. The platform-specific driver also relays one or more event streams to an analytics means, which can result in modifications to the declarative models and corresponding new sets of instructions coming through the platform-specific driver at a later point.

Abstract: The present invention extends to methods, systems, and computer program products for processing model based commands for distributed applications. Embodiments facilitate execution of model-based commands, including software lifecycle commands, using model-based workflow instances. Data related to command execution is stored in a shared repository such that command processors can understand their status in relationship to workflow instances. Further, since the repository is shared, command execution can be distributed and balanced across a plurality of different executive services. Embodiments also include model-based error handling and error recovery mechanisms.

Abstract: The present invention extends to methods, systems, and computer program products for processing model based commands for distributed applications. Embodiments facilitate execution of model-based commands, including software lifecycle commands, using model-based workflow instances. Data related to command execution is stored in a shared repository such that command processors can understand their status in relationship to workflow instances. Further, since the repository is shared, command execution can be distributed and balanced across a plurality of different executive services. Embodiments also include model-based error handling and error recovery mechanisms.

Abstract: The present invention extends to methods, systems, and computer program products for performing requested commands for model-based applications. Embodiments of the invention permit efficient implementation of operations for model-based applications. Since drivers that are to implement an operation request data for implementing the operation, embodiments significantly reduce the likelihood of superfluous data being exchanged between an executive service and drivers. Further, if an operation is interrupted before implementation is complete, the operation can be resumed without having to re-perform already completed portions of the operation. Additionally, a user can be regularly updated on the progress of their commands.

Abstract: The present invention extends to methods, systems, and computer program products for performing requested commands for model-based applications. Embodiments of the invention permit efficient implementation of operations for model-based applications. Since drivers that are to implement an operation request data for implementing the operation, embodiments significantly reduce the likelihood of superfluous data being exchanged between an executive service and drivers. Further, if an operation is interrupted before implementation is complete, the operation can be resumed without having to re-perform already completed portions of the operation. Additionally, a user can be regularly updated on the progress of their commands.

Abstract: The present invention extends to methods, systems, and computer program products for processing model based commands for distributed applications. Embodiments facilitate execution of model-based commands, including software lifecycle commands, using model-based workflow instances. Data related to command execution is stored in a shared repository such that command processors can understand their status in relationship to workflow instances. Further, since the repository is shared, command execution can be distributed and balanced across a plurality of different executive services. Embodiments also include model-based error handling and error recovery mechanisms.

Abstract: A system for automatically implementing high-level instructions in a distributed application program, where the high-level instructions reflect the behavior of the distributed application program, includes at least a tools component. The tools component is used to write high-level instructions in the form of declarative models, and place them in a repository. An executive component then receives the declarative models from the repository and refines them (e.g., via progressive elaboration) until there are no ambiguities. A platform-specific driver then translates the commands from the executive component, effectively turning the declarative model instructions into a set of imperative actions to be implemented in one or more application containers. The platform-specific driver also relays one or more event streams to an analytics means, which can result in modifications to the declarative models and corresponding new sets of instructions coming through the platform-specific driver at a later point.