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Statistice for the Usage of a Conceptual Data Model as a Basis for Logical Data Base Design.

Ole Oren, Frode Aschim: Statistice for the Usage of a Conceptual Data Model as a Basis for Logical Data Base Design. VLDB 1979: 140-145
@inproceedings{DBLP:conf/vldb/OrenA79,
  author    = {Ole Oren and
               Frode Aschim},
  editor    = {Antonio L. Furtado and
               Howard L. Morgan},
  title     = {Statistice for the Usage of a Conceptual Data Model as a Basis
               for Logical Data Base Design},
  booktitle = {Fifth International Conference on Very Large Data Bases, October
               3-5, 1979, Rio de Janeiro, Brazil, Proceedings},
  publisher = {IEEE Computer Society},
  year      = {1979},
  pages     = {140-145},
  ee        = {db/conf/vldb/OrenA79.html},
  crossref  = {DBLP:conf/vldb/79},
  bibsource = {DBLP, http://dblp.uni-trier.de}
}
BibTeX

Abstract

A data base design aid, SYDADA, is introduced. Input to SYDADA is a requirements specification, expressed in a language called SYSDOC. A SYSDOC specification consists of two main parts: a conceptual data model and a transaction description. The conceptual data model is a high level, implementation independent data description. The transaction description is expressed in a very high level language which uses the conceptual data model.

SYDADA analyzes the requirements specification by modelling the specified system. In the system model the conceptual data model is the data base, and the transactions specified can be executed using this data base. The most important result of the analysis is a set of statistics showing how, and how frequently, the various parts of the conceptual data model are used. We have shown how these statistics can be used as a basis for logical data base design.

Copyright © 1979 by The Institute of Electrical and Electronic Engineers, Inc. (IEEE). Abstract used with permission.


ACM SIGMOD Anthology

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Printed Edition

Antonio L. Furtado, Howard L. Morgan (Eds.): Fifth International Conference on Very Large Data Bases, October 3-5, 1979, Rio de Janeiro, Brazil, Proceedings. IEEE Computer Society 1979
Contents BibTeX

References

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[5]
Peter P. Chen, S. Bing Yao: Design and Performance Tools for Data Base Systems. VLDB 1977: 3-15 BibTeX
[6]
J. D. Clark, Jeffrey A. Hoffer: A Procedure for the Determination of Attribute Access Probabilities. SIGMOD Conference 1978: 110-117 BibTeX
[7]
Peter P. Chen: The Entity-Relationship Model - Toward a Unified View of Data. ACM Trans. Database Syst. 1(1): 9-36(1976) BibTeX
[8]
Bo Sundgren: Data Base Design in Theory and Practice. VLDB 1978: 3-16 BibTeX
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Referenced by

  1. Ole Oren: Integrity Constraints in the Conceptual Schema Language SYSDOC. ER 1985: 288-294
  2. Erik G. Nilsson: The Translation of a Cobol Data Structure to an Entity-Relationship Type Conceptual Schema. ER 1985: 170-177
  3. Ole Oren: A Method for Optimization of a Conceptual Model. ICDE 1984: 126-132
  4. Kenneth C. Sevcik: Data Base System Performance Prediction Using an Analytical Model (Invited Paper). VLDB 1981: 182-198
BibTeX
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