Scaling Up Output Capacity and Performance Results from Information Systems Prototypes.
J. Christopher Westland:
Scaling Up Output Capacity and Performance Results from Information Systems Prototypes.
ACM Trans. Database Syst. 15(3): 341-358(1990)@article{DBLP:journals/tods/Westland90,
author = {J. Christopher Westland},
title = {Scaling Up Output Capacity and Performance Results from Information
Systems Prototypes},
journal = {ACM Trans. Database Syst.},
volume = {15},
number = {3},
year = {1990},
pages = {341-358},
ee = {http://doi.acm.org/10.1145/88636.87943, db/journals/tods/Westland90.html},
bibsource = {DBLP, http://dblp.uni-trier.de}
}
BibTeX
Abstract
The advantage of information system prototyping arises from its
potential to predict problems and end-user satisfaction with a
system early in the development process, before significant
commitments of time and effort have been made. Predictions of
problems and end-user satisfaction have risen in importance with
the increasing complexity of business information systems and the
exponential growth of database size. This research investigates the
reporting of information to an end user, and the process of
inferring from a prototype to a full-scale information system.
This inference is called scaling up, and is an important part of the
system's development planning process. The research investigates
information systems reporting from a linguistic perspective, where a
database is used as a central receptacle for information storage. It
then investigates the manner in which reporting statistics from the
prototype information system may be used to infer the behavior and
performance of the full-scale system. An example is presented for
the application of the algorithm, and the final section discusses
the usefulness, application, and implications of the algorithm
developed in this research.
Copyright © 1990 by the ACM,
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