Abstract: A computer-readable medium storing instructions that, when executed by a computer in a vehicle, cause the computer to carry out a method for determining an energy-optimal path for the vehicle from an initial location to a final location, the vehicle corresponding to a vehicle energy model. Based at least on the initial location, an initial time, the final location, the vehicle energy model, and an environmental forecast a global path is generated. The global path includes a final maximum net energy path and a plurality of waypoints. Based on the global path a local path from the present location to a next waypoint of the plurality of waypoints is generated. Whether a net energy gain is generated by a deviation from the global path to the next waypoint of the plurality of waypoints is determined. Generating a local path is repeated until the vehicle reaches the final location.

Abstract: A computer-readable medium storing instructions that, when executed by a computer in a vehicle, cause the computer to carry out a method for determining an energy-optimal path for the vehicle from an initial location to a final location, the vehicle corresponding to a vehicle energy model. Based at least on the initial location, an initial time, the final location, the vehicle energy model, and an environmental forecast a global path is generated. The global path includes a final maximum net energy path and a plurality of waypoints. Based on the global path a local path from the present location to a next waypoint of the plurality of waypoints is generated. Whether a net energy gain is generated by a deviation from the global path to the next waypoint of the plurality of waypoints is determined. Generating a local path is repeated until the vehicle reaches the final location.

Abstract: Converting technical data from field oriented electronic data sources into natural language form is disclosed. An approach includes obtaining document data from an input document, wherein the document data is in a non-natural language form. The approach includes determining a data type of the document data from one of a plurality of data types defined in a detection and conversion database. The approach includes translating the document data to a natural language form based on the determined data type. The approach additionally includes outputting the translated document data in natural language form to an output data stream.

Abstract: Converting technical data from field oriented electronic data sources into natural language form is disclosed. An approach includes obtaining document data from an input document, wherein the document data is in a non-natural language form. The approach includes determining a data type of the document data from one of a plurality of data types defined in a detection and conversion database. The approach includes translating the document data to a natural language form based on the determined data type. The approach additionally includes outputting the translated document data in natural language form to an output data stream.

Abstract: Converting technical data from field oriented electronic data sources into natural language form is disclosed. An approach includes obtaining document data from an input document, wherein the document data is in a non-natural language form. The approach includes determining a data type of the document data from one of a plurality of data types defined in a detection and conversion database. The approach includes translating the document data to a natural language form based on the determined data type. The approach additionally includes outputting the translated document data in natural language form to an output data stream.

Abstract: Converting technical data from field oriented electronic data sources into natural language form is disclosed. An approach includes obtaining document data from an input document, wherein the document data is in a non-natural language form. The approach includes determining a data type of the document data from one of a plurality of data types defined in a detection and conversion database. The approach includes translating the document data to a natural language form based on the determined data type. The approach additionally includes outputting the translated document data in natural language form to an output data stream.

Abstract: Converting technical data from field oriented electronic data sources into natural language form is disclosed. An approach includes obtaining document data from an input document, wherein the document data is in a non-natural language form. The approach includes determining a data type of the document data from one of a plurality of data types defined in a detection and conversion database. The approach includes translating the document data to a natural language form based on the determined data type. The approach additionally includes outputting the translated document data in natural language form to an output data stream.

Abstract: Reliability of one or more software modules is projected according to a current state in a development life cycle of the software modules and any of various additional indicators. Preferably, a data processing support provider separate from the service-providing enterprise maintains historical field support data concerning significant field defect events with respect to various resources, and uses this data for projecting reliability of the resources. Preferably, software module reliability projections are used to support an analysis of risk of degradation of a service specified in a service requirements specification when provided by a configuration of data processing resources specified in a configuration specification.

Abstract: Reliability of one or more software modules is projected according to a current state in a development life cycle of the software modules and any of various additional indicators. Preferably, a data processing support provider separate from the service-providing enterprise maintains historical field support data concerning significant field defect events with respect to various resources, and uses this data for projecting reliability of the resources. Preferably, software module reliability projections are used to support an analysis of risk of degradation of a service specified in a service requirements specification when provided by a configuration of data processing resources specified in a configuration specification.

Abstract: Converting technical data from field oriented electronic data sources into natural language form is disclosed. An approach includes obtaining document data from an input document, wherein the document data is in a non-natural language form. The approach includes determining a data type of the document data from one of a plurality of data types defined in a detection and conversion database. The approach includes translating the document data to a natural language form based on the determined data type. The approach additionally includes outputting the translated document data in natural language form to an output data stream.

Abstract: Converting technical data from field oriented electronic data sources into natural language form is disclosed. An approach includes obtaining document data from an input document, wherein the document data is in a non-natural language form. The approach includes determining a data type of the document data from one of a plurality of data types defined in a detection and conversion database. The approach includes translating the document data to a natural language form based on the determined data type. The approach additionally includes outputting the translated document data in natural language form to an output data stream.

Abstract: Reliability of one or more software modules is projected according to a current state in a development life cycle of the software modules and any of various additional indicators. Preferably, a data processing support provider separate from the service-providing enterprise maintains historical field support data concerning significant field defect events with respect to various resources, and uses this data for projecting reliability of the resources. Preferably, software module reliability projections are used to support an analysis of risk of degradation of a service specified in a service requirements specification when provided by a configuration of data processing resources specified in a configuration specification.

Abstract: Reliability of one or more software modules is projected according to a current state in a development life cycle of the software modules and any of various additional indicators. Preferably, a data processing support provider separate from the service-providing enterprise maintains historical field support data concerning significant field defect events with respect to various resources, and uses this data for projecting reliability of the resources. Preferably, software module reliability projections are used to support an analysis of risk of degradation of a service specified in a service requirements specification when provided by a configuration of data processing resources specified in a configuration specification.

Abstract: Reliability of one or more software modules is projected according to a current state in a development life cycle of the software modules and any of various additional indicators. Preferably, a data processing support provider separate from the service-providing enterprise maintains historical field support data concerning significant field defect events with respect to various resources, and uses this data for projecting reliability of the resources. Preferably, software module reliability projections are used to support an analysis of risk of degradation of a service specified in a service requirements specification when provided by a configuration of data processing resources specified in a configuration specification.

Abstract: In one aspect, a service requirements specification specifies data processing resources required to provide a service, and a configuration specification specifies a configuration of data processing resources for providing the service. The service requirements specification and configuration specification are analyzed using resource reliability data for the specified resources to determine a composite risk of degradation of the service. In another aspect, reliability of one or more software modules is projected according to a current state in a development life cycle of the software modules and any of various additional indicators. Preferably, a data processing support provider separate from the service-providing enterprise maintains historical field support data concerning significant field defect events with respect to various resources, and uses this data for projecting reliability of the resources.

Abstract: Reliability of one or more software modules is projected according to a current state in a development life cycle of the software modules and any of various additional indicators. Preferably, a data processing support provider separate from the service-providing enterprise maintains historical field support data concerning significant field defect events with respect to various resources, and uses this data for projecting reliability of the resources. Preferably, software module reliability projections are used to support an analysis of risk of degradation of a service specified in a service requirements specification when provided by a configuration of data processing resources specified in a configuration specification.

Abstract: In one aspect, a service requirements specification specifies data processing resources required to provide a service, and a configuration specification specifies a configuration of data processing resources for providing the service. The service requirements specification and configuration specification are analyzed using resource reliability data for the specified resources to determine a composite risk of degradation of the service. In another aspect, reliability of one or more software modules is projected according to a current state in a development life cycle of the software modules and any of various additional indicators. Preferably, a data processing support provider separate from the service-providing enterprise maintains historical field support data concerning significant field defect events with respect to various resources, and uses this data for projecting reliability of the resources.

Abstract: Reliability of one or more software modules is projected according to a current state in a development life cycle of the software modules and any of various additional indicators. Preferably, a data processing support provider separate from the service-providing enterprise maintains historical field support data concerning significant field defect events with respect to various resources, and uses this data for projecting reliability of the resources. Preferably, software module reliability projections are used to support an analysis of risk of degradation of a service specified in a service requirements specification when provided by a configuration of data processing resources specified in a configuration specification.

Abstract: In one aspect, a service requirements specification specifies data processing resources required to provide a service, and a configuration specification specifies a configuration of data processing resources for providing the service. The service requirements specification and configuration specification are analyzed using resource reliability data for the specified resources to determine a composite risk of degradation of the service. In another aspect, reliability of one or more software modules is projected according to a current state in a development life cycle of the software modules and any of various additional indicators. Preferably, a data processing support provider separate from the service-providing enterprise maintains historical field support data concerning significant field defect events with respect to various resources, and uses this data for projecting reliability of the resources.

Abstract: In one aspect, a service requirements specification specifies data processing resources required to provide a service, and a configuration specification specifies a configuration of data processing resources for providing the service. The service requirements specification and configuration specification are analyzed using resource reliability data for the specified resources to determine a composite risk of degradation of the service. In another aspect, reliability of one or more software modules is projected according to a current state in a development life cycle of the software modules and any of various additional indicators. Preferably, a data processing support provider separate from the service-providing enterprise maintains historical field support data concerning significant field defect events with respect to various resources, and uses this data for projecting reliability of the resources.