Abstract: An example method facilitates verifying behaviors, functionality, and user interface display screens of a post-upgrade software system by comparing output thereof with a pre-upgrade software system. The example method includes accepting a first signal from a user input device to identify, at least in part, a first set of pre-upgrade output data items from the pre-upgrade software system; accepting a second signal from a user input device to identify, at least in part, a second set of corresponding post-upgrade output data items from the post-upgrade software system; and performing a consistency validation check between corresponding output data items in the first set and the second set. Accordingly, output data items in an upgraded system are readily validated against a pre-upgrade system. Plugins, as part of an upgrade verification tool, may implement specific tests. This enables enterprise software customers to automate their on-premise upgrade validation processes and to choose tests.

Abstract: An example method facilitates verifying behaviors, functionality, and user interface display screens of a post-upgrade software system by comparing output thereof with a pre-upgrade software system. The example method includes accepting a first signal from a user input device to identify, at least in part, a first set of pre-upgrade output data items from the pre-upgrade software system; accepting a second signal from a user input device to identify, at least in part, a second set of corresponding post-upgrade output data items from the post-upgrade software system; and performing a consistency validation check between corresponding output data items in the first set and the second set. Accordingly, output data items in an upgraded system are readily validated against a pre-upgrade system. Plugins, as part of an upgrade verification tool, may implement specific tests. This enables enterprise software customers to automate their on-premise upgrade validation processes and to choose tests.

Abstract: Facilitating identification of star schemas in database environments. In an embodiment, queries directed to relational database tables (organized according to normalized schema) are examined to determine the relationships specified in the queries. A star schema is then generated by including the specified relationships. A data warehouse may be organized according to the generated star schema and the data previously stored in the database tables may be copied to the data warehouse.

Abstract: Facilitating identification of star schemas in database environments. In an embodiment, queries are examined to determine the joins required. The two tables of each join are added as a relationship in the star schema.