Information technology (IT) systems are present in almost all fields of human activity, with emphasis on processing, storage, and\r\nhandling of datasets. Automated methods to provide access to data stored in databases have been proposed mainly for tasks related\r\nto knowledge discovery and data mining (KDD). However, for this purpose, the database is used only to query data in order to find\r\nrelevant patterns associated with the records. Processes modelled on IT systems should manipulate the records to modify the state\r\nof the system. Linear genetic programming for databases (LGPDB) is a tool proposed here for automatic generation of programs\r\nthat can query, delete, insert, and update records on databases. The obtained results indicate that the LGPDB approach is able to\r\ngenerate programs for effectively modelling processes of IT systems, opening the possibility of automating relevant stages of data\r\nmanipulation, and thus allowing human programmers to focus on more complex tasks.
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