Abstract: A method, computer program product, and system includes a processor(s) identifying one or more resources of a shared computing environment utilized in delivery of an application, to users of the shared computing environment. The processor(s) monitors communications to the one or more resources, to identify and intercept operations related to delivery of the application. The processor(s) analyze the intercepted operations, to determine when the operations comprise a pattern occurring with a frequency indicative of a predetermined level of confidence, where the pattern comprises one or more delivery operations. Based on determining the pattern occurs with the frequency, the processor(s) generates an automated delivery pipeline for the application, where the automated delivery pipeline automates at least one of the one or more delivery operations comprising the pattern. The processor(s) utilizes the automated delivery pipeline to deliver a new version of the application.

Abstract: A method, computer program product, and system includes a processor(s) identifying one or more resources of a shared computing environment utilized in delivery of an application, to users of the shared computing environment. The processor(s) monitors communications to the one or more resources, to identify and intercept operations related to delivery of the application. The processor(s) analyze the intercepted operations, to determine when the operations comprise a pattern occurring with a frequency indicative of a predetermined level of confidence, where the pattern comprises one or more delivery operations. Based on determining the pattern occurs with the frequency, the processor(s) generates an automated delivery pipeline for the application, where the automated delivery pipeline automates at least one of the one or more delivery operations comprising the pattern. The processor(s) utilizes the automated delivery pipeline to deliver a new version of the application.

Abstract: The method includes identifying a test report log for a regression test. The method further includes identifying one or more errors in the identified test report log. The method further includes determining a severity category for the one or more identified errors in the identified test report log. The method further includes determining a severity category for the identified test report log based on the determined severity category for the one or more identified errors in the identified test report log.

Abstract: The method includes identifying a test report log for a regression test. The method further includes identifying one or more errors in the identified test report log. The method further includes determining a severity category for the one or more identified errors in the identified test report log. The method further includes determining a severity category for the identified test report log based on the determined severity category for the one or more identified errors in the identified test report log.

Abstract: The method includes identifying a test report log for a regression test. The method further includes identifying one or more errors in the identified test report log. The method further includes determining a severity category for the one or more identified errors in the identified test report log. The method further includes determining a severity category for the identified test report log based on the determined severity category for the one or more identified errors in the identified test report log.

Abstract: The method includes identifying a test report log for a regression test. The method further includes identifying one or more errors in the identified test report log. The method further includes determining a severity category for the one or more identified errors in the identified test report log. The method further includes determining a severity category for the identified test report log based on the determined severity category for the one or more identified errors in the identified test report log.

Abstract: The method includes identifying a test report log for a regression test. The method further includes identifying one or more errors in the identified test report log. The method further includes determining a severity category for the one or more identified errors in the identified test report log. The method further includes determining a severity category for the identified test report log based on the determined severity category for the one or more identified errors in the identified test report log.

Abstract: The method includes identifying a test report log for a regression test. The method further includes identifying one or more errors in the identified test report log. The method further includes determining a severity category for the one or more identified errors in the identified test report log. The method further includes determining a severity category for the identified test report log based on the determined severity category for the one or more identified errors in the identified test report log.

Abstract: The method includes identifying a test report log for a regression test. The method further includes identifying one or more errors in the identified test report log. The method further includes determining a severity category for the one or more identified errors in the identified test report log. The method further includes determining a severity category for the identified test report log based on the determined severity category for the one or more identified errors in the identified test report log.

Abstract: The method includes identifying a test report log for a regression test. The method further includes identifying one or more errors in the identified test report log. The method further includes determining a severity category for the one or more identified errors in the identified test report log. The method further includes determining a severity category for the identified test report log based on the determined severity category for the one or more identified errors in the identified test report log.

Abstract: A metadata repository for use in an integrated development environment is provided. The metadata repository is layered to define levels of common behaviour useful to different types of application development tools. The most general use tools have access to metadata at the level of simple constructed types; more specialised tools have access to components that contain properties of a target language; highly specialised tools have access to composed partitionable part metadata that can be used for constructing distributed applications.