QUANTITATIVE METHODS OF INFORMATION PROCESSING SYSTEM EVALUATION

The objective of this study was to develop practical methods for specifying the characteristics of a data processing system and for comparing the performance of different systems. The methods cover both functional characteristics and engineering characteristics. The functional characteristics are sp...

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Bibliographic Details
Main Authors: ABRAHAMS,Paul W, Lipp,Michael F, Harlow,Jacques
Format: Report
Language:English
Subjects:
COMPUTER LOGIC
COMPUTER PROGRAMMING
DATA PROCESSING
DIGITAL COMPUTERS
FORTRAN
INFORMATION RETRIEVAL
INPUT OUTPUT DEVICES
PROGRAMMING LANGUAGES
SCHEDULING
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Summary:The objective of this study was to develop practical methods for specifying the characteristics of a data processing system and for comparing the performance of different systems. The methods cover both functional characteristics and engineering characteristics. The functional characteristics are specified in terms of macro operations that represent particular sample problems. Associated with these macro operations are parameters that serve to specify the macro operation completely. The selected macro operations cover commercial and scientific data processing. The engineering characteristics include factors such as configuration, word length, overlap, time for various operations, and logic. In a computer procurement, the purchaser specifies his requirements in terms of functional characteristics. The bidder selects a computer configuration and describes its performance in terms of either engineering characteristics or functional characteristics. The choice depends upon which of two different evaluation methods are used. Advantages and drawbacks of the methods are discussed. (Author)