Abstract: A method for processing an unsupported data type in a database is disclosed. The method for processing an unsupported data type in a database comprises detecting, while copying data from a primary to a secondary database, a table for data comprising a data type that is unsupported by the secondary database. Furthermore, the method comprises generating a base table in the secondary database as a copy of the detected table of the primary database without the data of the unsupported data type, generating an additional table in the secondary database for data of the unsupported data type, and linking the additional table to the base table in the secondary database via a row-identifier relationship. Additionally, the method comprises accessing data of the unsupported data type via the additional table while performing queries against the secondary database.

Abstract: A method, system, and program product for testing adaptive software is provided. The method includes receiving a selection for a software testing model associated with a portion of a software product requiring operational testing. The software testing model is selected from a database of saturated models. Input data for executing the software testing model is received and loaded within a model execution module. The software testing model is executed with respect to the input data and an output verifying results is generated. Input values associated with operational issues of the software product are stored. Machine learning software code is generated. The machine learning software code is configured for executing future processes associated with generating and selecting additional input values for future executions of the software testing model.