Abstract: Techniques and solutions are provided for database testing. In particular, aspects of the present disclosure facilitate “automatic exploration” of testing of database features, such as database commands. In particular, test definitions can be created for particular database features, where a test definition can have variants. Different test definitions can be combined into a composite test, which can include different variants for different tests. An executable test can be created that allows a database to execute a composite test. The present disclose also provides techniques and solutions for analyzing test results, particularly when voluminous test results are returned. In one example, test results for multiple iterations of a test can be compared. A change in test results, for example, can cause a test result to be flagged for further review. The composite tests, or result analysis techniques, can help provide better testing of database software to help identify software errors/bugs.

Abstract: Techniques for validating a cloud service for multiple programming stacks are disclosed. A computer system may configure a corresponding set of requests for each programming stack client in a plurality of programming stack clients based on usage metrics of a cloud service. Each programming stack client in the plurality of programming stack clients may be configured to be used to build a software application for the cloud service. The usage metrics may indicate historical requests executed on the cloud service via the plurality of programming stack clients. The computer system may then, for each programming stack client in the plurality of programming stack clients, trigger execution of the corresponding set of requests for the programming stack client on the cloud service via the programming stack client.

Abstract: Techniques for validating a cloud service for multiple programming stacks are disclosed. A computer system may configure a corresponding set of requests for each programming stack client in a plurality of programming stack clients based on usage metrics of a cloud service. Each programming stack client in the plurality of programming stack clients may be configured to be used to build a software application for the cloud service. The usage metrics may indicate historical requests executed on the cloud service via the plurality of programming stack clients. The computer system may then, for each programming stack client in the plurality of programming stack clients, trigger execution of the corresponding set of requests for the programming stack client on the cloud service via the programming stack client.

Abstract: Techniques and solutions are provided for database testing. In particular, aspects of the present disclosure facilitate “automatic exploration” of testing of database features, such as database commands. In particular, test definitions can be created for particular database features, where a test definition can have variants. Different test definitions can be combined into a composite test, which can include different variants for different tests. An executable test can be created that allows a database to execute a composite test. The present disclose also provides techniques and solutions for analyzing test results, particularly when voluminous test results are returned. In one example, test results for multiple iterations of a test can be compared. A change in test results, for example, can cause a test result to be flagged for further review. The composite tests, or result analysis techniques, can help provide better testing of database software to help identify software errors/bugs.

Abstract: An AI platform to enable one or more users to design and create AI enabled applications is provided. The AI platform comprises a data module configured to condition data received from a plurality of data sources to generate a corresponding data pipeline; wherein the data module comprises a plurality of reusable data components. The AI platform further comprises an intelligent processing module configured to process a plurality of datasets received on the data pipeline and generate a corresponding artificial intelligence (AI) pipeline; wherein the intelligent processing module comprises a plurality of reusuable data processing components.

Abstract: A system, method, and computer-readable medium to receive a definition of a first chart; determine a chart type for the first chart based on the definition; calculate, based on the determined first chart type, proportion values for chart elements of the first chart; receive a definition of a second chart; determine whether a chart type for the second chart is the same as the first chart type; calculate, in response to the determination that the second chart type is the same as the first chart type, proportion values for the chart elements of the second chart based on the first chart type; determine whether the second chart is a valid representation of the first chart based on the calculated proportion values for the first chart and the second chart; and store a record of the validation determination.

Abstract: An AI platform to enable one or more users to design and create AI enabled applications is provided. The AI platform comprises a data module configured to condition data received from a plurality of data sources to generate a corresponding data pipeline; wherein the data module comprises a plurality of reusable data components. The AI platform further comprises an intelligent processing module configured to process a plurality of datasets received on the data pipeline and generate a corresponding artificial intelligence (AI) pipeline; wherein the intelligent processing module comprises a plurality of reusuable data processing components.

Abstract: A system, method, and computer-readable medium to receive a definition of a first chart; determine a chart type for the first chart based on the definition; calculate, based on the determined first chart type, proportion values for chart elements of the first chart; receive a definition of a second chart; determine whether a chart type for the second chart is the same as the first chart type; calculate, in response to the determination that the second chart type is the same as the first chart type, proportion values for the chart elements of the second chart based on the first chart type; determine whether the second chart is a valid representation of the first chart based on the calculated proportion values for the first chart and the second chart; and store a record of the validation determination.

Abstract: The present invention provides imidazopyridine compounds, compositions containing the same, as well as processes for the preparation and methods for their use as pharmaceutical agents.

Abstract: The present invention provides imidazopyridine compounds, compositions containing the same, as well as processes for the preparation and methods for their use as pharmaceutical agents.