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COMPSAC '97 - 21st International Computer Software and Applications Conference
Object-Oriented Evolutionary Database Design for Software Metrics Data
Washington, DC
August 11-August 15
ISBN: 0-8186-8105-5
Raymond A. Paul, Testing and Evaluation, 3000 Defense Pentagon, Washington DC 20301
T. L. Kunii, University of Aizu, Aizu Wakamatsu City, Fukushima 965-80, Japan
Y. Shinagawa, Department of Information Science, University of Tokyo, Tokyo Japan
A. Ghafoor, School of Electrical and Comp. Engr., Purdue University, W. Lafayette, IN, 47907
In this paper we present an approach to manage evolutionary changes that take place over time in an object-oriented software metrics database schema. Our framework is based on Entity-Relation (E-R) model and uses a recursive graph structure, known as R-graph, to support the views of software quality and risk. The fundamental mechanism for abstracting views is the introduction of two semantic operators for the R-graph. These operators are proposed based on graph-based predicates and Petri-net based predicate formalism for view abstraction.
Citation:
Raymond A. Paul, T. L. Kunii, Y. Shinagawa, A. Ghafoor, "Object-Oriented Evolutionary Database Design for Software Metrics Data," compsac, pp.32, COMPSAC '97 - 21st International Computer Software and Applications Conference, 1997
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