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Title: 

CHOOSING A DATABASE QUERY LANGUAGE

Authors: Jarke, Matthias
Vassiliou, Yannis
Keywords: Query Languages;databases;human factors;language evaluation;user classification
Issue Date: Apr-1984
Publisher: Stern School of Business, New York University
Series/Report no.: IS-84-39
Abstract: A methodology is presented for selecting query languages suitable for certain user types. The method is based on a trend model of query language development on the dimensions of functional capabilities and usability. Expected developments are exemplified by the description of "second generation” database query languages. From the trend model are derived: a classification scheme for query languages; a criterion hierarchy for query language evaluation; a comprehensive classification scheme of query language users and their requirements; and recommendations for allocating language classes to user types. The method integrates the results of existing human factors studies and provides a structured framework for future research.
URI: http://hdl.handle.net/2451/14558
Appears in Collections:IOMS: Information Systems Working Papers

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