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Architecture, Design, Development, and Usage of ODBDetective 1.0

Christian Mancas and Alina Iuliana Dicu

“ODBDetective is an Oracle database (Oracle) metadata mining tool for detecting violations of some crucial database (db) design, implementation, usage, and optimization best practice rules (bpr). This paper presents the set of bprs that is considered by the first full version (1.0) of ODBDetective, the db axioms from which they are derived, the corresponding tool’s facilities, and the essentials of its actual architecture, design, development, and usage, including the results of a case study on an Oracle production db. Moreover, even this first ODBDetective version also allows for storing semantic decision data on desired db scheme improvements, which will prove very useful to automatic improvement code generation in subsequent versions of this tool.”