Abstract: Detecting and remediating memory leaks associated with an application environment can include monitoring allocations of memory from a managed memory space to respective operations to produce memory allocation data and monitoring deallocations of memory to at least some of the respective operations to produce memory deallocation data. A trend in memory leakage can be determined based on samples of the memory allocation or deallocation data. A projection of future memory usage by operations associated with the trend can be determined using binned sets of the memory allocation data and the memory deallocation data. A predicted time at which memory usage by the operations associated with the trend is expected to exceed a threshold can be determined using the projection of future memory usage. A remediation action can be performed before the predicted time to prevent a memory constraint from occurring with respect to the application environment.

Abstract: A system including a data center hosting a representational state transfer (REST) server in communication with a client network, wherein the REST server includes a GraphQL schema describing tables and fields of a communicatively coupled database. The REST server is configured to: receive a request that includes a GraphQL query; open a streaming connection to the client network; and output a beginning of a response via the streaming connection. The REST server is also configured to process the GraphQL query based on the GraphQL schema to generate a GraphQL result, and to output the GraphQL result in a body of the response via the streaming connection. The REST server is further configured to output an end of the response via the streaming connection, such that the response is correctly formatted in JavaScript Object Notation (JSON).

Abstract: A computing system includes a server. The server is communicatively coupled to a data repository and is configured to store a data in the data repository. The server is further configured to receive as input, via a server communicatively coupled to a data repository and configured to store a data in the data repository, a dynamic schema, the dynamic schema comprising a dynamic object, wherein the dynamic object is representative of information stored in at least one server object. The server is additionally configured to provide an application programming interface (API) to interface with the dynamic object based on the dynamic schema. The server is further configured to retrieve a result when the dynamic object is executed via a call to the API, wherein retrieving the result comprises loading the server object or a portion of the server object into a memory of the server only after the call to the API.

Abstract: Methods, systems, and system for generating code using visual blocks. A selection is made from a list of one or more programming blocks. One or more of the programming blocks are selected and used to display a visual programming block that corresponds to the selected one or more programming blocks. This visual programming block is then used to generate or produce output code.

Abstract: A method includes receiving, at a processor, ticket data representing a ticket. The method further includes receiving, at the processor, description data representing a description of the ticket. The method further includes calculating, based on the description data, a first probability that the ticket corresponds to a first category and a second probability that the ticket corresponds to a second category. The method further includes determining an entropy value associated with routing the ticket data. The method further includes, in response to the entropy value satisfying a threshold and the first probability exceeding the second probability, routing the ticket data to a device associated with the first category.

Abstract: Detecting and remediating memory leaks associated with an application environment can include monitoring allocations of memory from a managed memory space to respective operations to produce memory allocation data and monitoring deallocations of memory to at least some of the respective operations to produce memory deallocation data. A trend in memory leakage can be determined based on samples of the memory allocation or deallocation data. A projection of future memory usage by operations associated with the trend can be determined using binned sets of the memory allocation data and the memory deallocation data. A predicted time at which memory usage by the operations associated with the trend is expected to exceed a threshold can be determined using the projection of future memory usage. A remediation action can be performed before the predicted time to prevent a memory constraint from occurring with respect to the application environment.

Abstract: The disclosed Test Case Prioritization (TCP) system includes a TCP server that is designed to generate a TCP Model, which stores identified relationships between software files and test cases based on test results. The TCP server groups the test cases by track and/or build, and clusters the test cases that correspond to failed test results within each group. The TCP server also determines which software files have been modified since a previous testing of the software files. The TCP server then correlates the clusters of test cases and the modified software files to construct the TCP model. Once the TCP model has been generated, the TCP server can use the TCP model to provide useful information during software development and testing.

Abstract: A computing system includes a server. The server is communicatively coupled to a data repository and is configured to store a data in the data repository. The server is further configured to receive as input, via a server communicatively coupled to a data repository and configured to store a data in the data repository, a dynamic schema, the dynamic schema comprising a dynamic object, wherein the dynamic object is representative of information stored in at least one server object. The server is additionally configured to provide an application programming interface (API) to interface with the dynamic object based on the dynamic schema. The server is further configured to retrieve a result when the dynamic object is executed via a call to the API, wherein retrieving the result comprises loading the server object or a portion of the server object into a memory of the server only after the call to the API.

Abstract: Detecting and remediating memory leaks associated with an application environment can include monitoring allocations of memory from a managed memory space to respective operations to produce memory allocation data and monitoring deallocations of memory to at least some of the respective operations to produce memory deallocation data. A trend in memory leakage can be determined based on samples of the memory allocation or deallocation data. A projection of future memory usage by operations associated with the trend can be determined using binned sets of the memory allocation data and the memory deallocation data. A predicted time at which memory usage by the operations associated with the trend is expected to exceed a threshold can be determined using the projection of future memory usage. A remediation action can be performed before the predicted time to prevent a memory constraint from occurring with respect to the application environment.

Abstract: A system including a data center hosting a representational state transfer (REST) server in communication with a client network, wherein the REST server includes a GraphQL schema describing tables and fields of a communicatively coupled database. The REST server is configured to: receive a request that includes a GraphQL query; open a streaming connection to the client network; and output a beginning of a response via the streaming connection. The REST server is also configured to process the GraphQL query based on the GraphQL schema to generate a GraphQL result, and to output the GraphQL result in a body of the response via the streaming connection. The REST server is further configured to output an end of the response via the streaming connection, such that the response is correctly formatted in JavaScript Object Notation (JSON).

Abstract: Methods, systems, and system for generating code using visual blocks. A selection is made from a list of one or more programming blocks. One or more of the programming blocks are selected and used to display a visual programming block that corresponds to the selected one or more programming blocks. This visual programming block is then used to generate or produce output code.

Abstract: A system including a data center hosting a representational state transfer (REST) server in communication with a client network, wherein the REST server includes a GraphQL schema describing tables and fields of a communicatively coupled database. The REST server is configured to: receive a request that includes a GraphQL query; open a streaming connection to the client network; and output a beginning of a response via the streaming connection. The REST server is also configured to process the GraphQL query based on the GraphQL schema to generate a GraphQL result, and to output the GraphQL result in a body of the response via the streaming connection. The REST server is further configured to output an end of the response via the streaming connection, such that the response is correctly formatted in JavaScript Object Notation (JSON).

Abstract: A system including a data center hosting a representational state transfer (REST) server in communication with a client network, wherein the REST server includes a GraphQL schema describing tables and fields of a communicatively coupled database. The REST server is configured to: receive a request that includes a GraphQL query; open a streaming connection to the client network; and output a beginning of a response via the streaming connection. The REST server is also configured to process the GraphQL query based on the GraphQL schema to generate a GraphQL result, and to output the GraphQL result in a body of the response via the streaming connection. The REST server is further configured to output an end of the response via the streaming connection, such that the response is correctly formatted in JavaScript Object Notation (JSON).

Abstract: Methods, systems, and system for generating code using visual blocks. A selection is made from a list of one or more programming blocks. One or more of the programming blocks are selected and used to display a visual programming block that corresponds to the selected one or more programming blocks. This visual programming block is then used to generate or produce output code.

Abstract: Detecting and remediating memory leaks associated with an application environment can include monitoring allocations of memory from a managed memory space to respective operations to produce memory allocation data and monitoring deallocations of memory to at least some of the respective operations to produce memory deallocation data. A trend in memory leakage can be determined based on samples of the memory allocation or deallocation data. A projection of future memory usage by operations associated with the trend can be determined using binned sets of the memory allocation data and the memory deallocation data. A predicted time at which memory usage by the operations associated with the trend is expected to exceed a threshold can be determined using the projection of future memory usage. A remediation action can be performed before the predicted time to prevent a memory constraint from occurring with respect to the application environment.

Abstract: Methods, systems, and system for generating code using visual blocks. A selection is made from a list of one or more programming blocks. One or more of the programming blocks are selected and used to display a visual programming block that corresponds to the selected one or more programming blocks. This visual programming block is then used to generate or produce output code.

Abstract: Detecting and remediating memory leaks associated with an application environment can include monitoring allocations of memory from a managed memory space to respective operations to produce memory allocation data and monitoring deallocations of memory to at least some of the respective operations to produce memory deallocation data. A trend in memory leakage can be determined based on samples of the memory allocation or deallocation data. A projection of future memory usage by operations associated with the trend can be determined using binned sets of the memory allocation data and the memory deallocation data. A predicted time at which memory usage by the operations associated with the trend is expected to exceed a threshold can be determined using the projection of future memory usage. A remediation action can be performed before the predicted time to prevent a memory constraint from occurring with respect to the application environment.

Abstract: A method includes receiving, at a processor, ticket data representing a ticket. The method further includes receiving, at the processor, description data representing a description of the ticket. The method further includes calculating, based on the description data, a first probability that the ticket corresponds to a first category and a second probability that the ticket corresponds to a second category. The method further includes determining an entropy value associated with routing the ticket data. The method further includes, in response to the entropy value satisfying a threshold and the first probability exceeding the second probability, routing the ticket data to a device associated with the first category.

Abstract: Methods, systems, and system for generating code using visual blocks. A selection is made from a list of one or more programming blocks. One or more of the programming blocks are selected and used to display a visual programming block that corresponds to the selected one or more programming blocks. This visual programming block is then used to generate or produce output code.

Abstract: Methods, systems, and system for generating code using visual blocks. A selection is made from a list of one or more programming blocks. One or more of the programming blocks are selected and used to display a visual programming block that corresponds to the selected one or more programming blocks. This visual programming block is then used to generate or produce output code.