Abstract: An approach is provided in which a manufacturing test scheduling system predicts a dew point forecast indoor a facility based upon outdoor weather data and indoor environment data. The manufacturing test scheduling system selects time slots in the dew point forecast based upon a pre-defined dew point threshold and, in turn, schedules tests of a liquid cooled computer system during the selected time slots.

Abstract: Features to include within a predictive build of a computing system are selected. The predictive build is an anticipated final build of the computing system prior to receiving a firm customer order for the computing system in accordance with which an actual final build of the computing system is then built. A marginal cost of first building the predictive build and then modifying the predictive build to realize the actual final build, as compared to building the actual final build without first building the predictive build and then modifying predictive build to realize the actual final build, is estimated based on the features selected. Responsive to determining that the marginal cost is less than a predetermined acceptable marginal cost limit, the predictive build is built prior to receiving the firm customer order, and then is modified to realize the actual final build upon receiving the firm customer order.

Abstract: An approach is provided in which a manufacturing test scheduling system predicts a dew point forecast indoor a facility based upon outdoor weather data and indoor environment data. The manufacturing test scheduling system selects time slots in the dew point forecast based upon a pre-defined dew point threshold and, in turn, schedules tests of a liquid cooled computer system during the selected time slots.

Abstract: A mechanism is provided in a data processing system for automatic case assignment. The mechanism extracts features from a machine readable form of a case to be assigned. An expertise classifier generates an initial case assignment matrix matching the case to a plurality of caseworkers based on the extracted features, a caseworker relationship graph, and an entity relationship graph. A personnel filter filters the initial case assignment matrix based on expertise, availability, and caseload of the plurality of caseworkers to form a final caseworker assignment. The mechanism assigns the case to an identified caseworker based on the final caseworker assignment.

Abstract: Features to include within a predictive build of a computing system are selected. The predictive build is an anticipated final build of the computing system prior to receiving a firm customer order for the computing system in accordance with which an actual final build of the computing system is then built. A marginal cost of first building the predictive build and then modifying the predictive build to realize the actual final build, as compared to building the actual final build without first building the predictive build and then modifying predictive build to realize the actual final build, is estimated based on the features selected. Responsive to determining that the marginal cost is less than a predetermined acceptable marginal cost limit, the predictive build is built prior to receiving the firm customer order, and then is modified to realize the actual final build upon receiving the firm customer order.

Abstract: A test unit, operating in a first hardware operating state, receives a request for the input data from a test platform. In response to the receiving the request, the test unit determines that retrieving the input data requires the test unit to be in a second hardware operating state. In response to the determining, the test unit transitions from the first hardware operating state to the second operating hardware state. In the second hardware operating state, the test unit retrieves the input data. Once the test unit transitions to the second and correct hardware operating state, the test unit transmits the input data to the test platform.

Abstract: A test unit, operating in a first hardware operating state, receives a request for the input data from a test platform. In response to the receiving the request, the test unit determines that retrieving the input data requires the test unit to be in a second hardware operating state. In response to the determining, the test unit transitions from the first hardware operating state to the second operating hardware state. In the second hardware operating state, the test unit retrieves the input data. Once the test unit transitions to the second and correct hardware operating state, the test unit transmits the input data to the test platform.

Abstract: A fulfillment test of a computing system having components is performed within a build-to-order test phase. Responsive to the fulfillment test failing, the component that most contributed to the fulfillment test failing is replaced, regardless of whether the given component was determined to be suspect or marginally defective pursuant to a fabrication test previously performed within a build-to-plan test phase. Any other component of that contributed to the fulfillment test failing and that was determined to be suspect or marginally defective pursuant to the fabrication test previously performed within the build-to-plan test phase is also replaced.

Abstract: An apparatus includes a system test module that initiates a system power test for a computer system. The computer system includes one or more power supplies that provide power to system components. The system power test includes determining power system characteristics under various loading conditions. The apparatus includes a configure module that configures a system component during the system power test. The system component uses a higher amount of power after being configured than in a previous un-configured condition. The apparatus includes a de-configure module that de-configures the system component during the system power test. The system component uses a lower amount of power after being de-configured than in a previous configured condition. The apparatus includes a diagnostic module that measures power system performance of the computer system during varying loading conditions caused by configuring and de-configuring one or more system components by the configure module and the de-configure module.

Abstract: A test unit, operating in a first hardware operating state, receives a request for the input data from a test platform. In response to the receiving the request, the test unit determines that retrieving the input data requires the test unit to be in a second hardware operating state. In response to the determining, the test unit transitions from the first hardware operating state to the second operating hardware state. In the second hardware operating state, the test unit retrieves the input data. Once the test unit transitions to the second and correct hardware operating state, the test unit transmits the input data to the test platform.

Abstract: A test unit, operating in a first hardware operating state, receives a request for the input data from a test platform. In response to the receiving the request, the test unit determines that retrieving the input data requires the test unit to be in a second hardware operating state. In response to the determining, the test unit transitions from the first hardware operating state to the second operating hardware state. In the second hardware operating state, the test unit retrieves the input data. Once the test unit transitions to the second and correct hardware operating state, the test unit transmits the input data to the test platform.

Abstract: Embodiments relate to importing files or a file set from a library as an import set and dynamically extracting and compiling the import set at run-time. The library stores one or more files and any incremental changes to the files. Versioning information is read from the import set. Import of the files from the library is limited to dependencies that are needed to support program execution. The import set transforms the program, and in one embodiment modifies execution of the program. At run-time, non-compiled program code of the import set is compiled with the program to dynamically execute the program.

Abstract: A testing backplane apparatus includes first test ports configured to receive a first processor assembly under test and the plurality of first test ports may be an even number of first test ports or an odd number of first test ports. The testing backplane apparatus includes second test ports, where each first test port corresponds to a second test port and the second test ports connect to a second processor assembly. The testing backplane apparatus includes a signal pathway from each first test port to a second test port. The signal pathway includes a signal path length within a range between a maximum signal path length and a minimum signal path length. Each port on the first processor assembly corresponds to each port on the second processor assembly and the testing backplane apparatus is configured differently from a backplane used as a final destination for operating the first processor assembly.

Abstract: A mechanism is provided in a data processing system for automatic case assignment. The mechanism extracts features from a machine readable form of a case to be assigned. An expertise classifier generates an initial case assignment matrix matching the case to a plurality of caseworkers based on the extracted features, a caseworker relationship graph, and an entity relationship graph. A personnel filter filters the initial case assignment matrix based on expertise, availability, and caseload of the plurality of caseworkers to form a final caseworker assignment. The mechanism assigns the case to an identified caseworker based on the final caseworker assignment.

Abstract: Features to include within a predictive build of a computing system are selected. The predictive build is an anticipated final build of the computing system prior to receiving a firm customer order for the computing system in accordance with which an actual final build of the computing system is then built. A marginal cost of first building the predictive build and then modifying the predictive build to realize the actual final build, as compared to building the actual final build without first building the predictive build and then modifying predictive build to realize the actual final build, is estimated based on the features selected. Responsive to determining that the marginal cost is less than a predetermined acceptable marginal cost limit, the predictive build is built prior to receiving the firm customer order, and then is modified to realize the actual final build upon receiving the firm customer order.

Abstract: An approach is provided in which a manufacturing test scheduling system predicts a dew point forecast indoor a facility based upon outdoor weather data and indoor environment data. The manufacturing test scheduling system selects time slots in the dew point forecast based upon a pre-defined dew point threshold and, in turn, schedules tests of a liquid cooled computer system during the selected time slots.

Abstract: An approach is provided in which a manufacturing test scheduling system predicts a dew point forecast indoor a facility based upon outdoor weather data and indoor environment data. The manufacturing test scheduling system selects time slots in the dew point forecast based upon a pre-defined dew point threshold and, in turn, schedules tests of a liquid cooled computer system during the selected time slots.

Abstract: Features to include within a predictive build of a computing system are selected. The predictive build is an anticipated final build of the computing system prior to receiving a firm customer order for the computing system in accordance with which an actual final build of the computing system is then built. A marginal cost of first building the predictive build and then modifying the predictive build to realize the actual final build, as compared to building the actual final build without first building the predictive build and then modifying predictive build to realize the actual final build, is estimated based on the features selected. Responsive to determining that the marginal cost is less than a predetermined acceptable marginal cost limit, the predictive build is built prior to receiving the firm customer order, and then is modified to realize the actual final build upon receiving the firm customer order.

Abstract: A testing backplane apparatus includes first test ports configured to receive a first processor assembly under test and the plurality of first test ports may be an even number of first test ports or an odd number of first test ports. The testing backplane apparatus includes second test ports, where each first test port corresponds to a second test port and the second test ports connect to a second processor assembly. The testing backplane apparatus includes a signal pathway from each first test port to a second test port. The signal pathway includes a signal path length within a range between a maximum signal path length and a minimum signal path length. Each port on the first processor assembly corresponds to each port on the second processor assembly and the testing backplane apparatus is configured differently from a backplane used as a final destination for operating the first processor assembly.

Abstract: An interface node selects a logical block address that corresponds to a contiguous memory location located on a storage device that is accessible by multiple interface nodes. The interface node retrieves a logical block address status indicator from a shared memory area and determines, based upon the logical block status indicator, whether the logical block address is utilized by a different interface node. If the logical block address is not utilized by a different interface node, the interface node tests the corresponding contiguous memory location.