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GOOD is an acronym, standing for Graph-Oriented Object Database . GOOD is being developed as a joint research effort of Indiana University and the University of Antwerp. The main thrust behind the project is to indicate general concepts that are fundamental to any graph-oriented database user-interface. GOOD does not restrict its attention to well-considered topics such as ad-hoc query facilities, but wants to cover the full spectrum of database manipulations. The idea of graph-pattern matching as a uniform object manipulation primitive offers a uniform framework in which this can be accomplished.

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Object-oriented applications of database systems require database transformations involving nonstandard functionalities such as set manipulation and object creation, that is, the introduction of new domain elements. To deal with these functionalities, Abiteboul and Kanellakis [1989] introduced the "determinate" transformations as a generalization of the standard domain-preserving transformations. The obvious extensions of complete standard database programming languages, however, are not complete for the determinate transformations. To remedy this mismatch, the "constructive" transformations are proposed. It is shown that the constructive transformations are precisely the transformations that can be expressed in said extensions of complete standard languages. Thereto, a close correspondence between object creation and the construction of hereditarily finite sets is established.A restricted version of the main completeness result for the case where only list manipulations are involved is also presented.A preliminary version of part of this paper was presented at the 33rd IEEE