Measuring Errors in Operational Analysis Assumptions

Operational analysis, an area of study first defined in the computer science field, has been used in the analysis of systems performance. System performance measures for a specific set of output data are obtained using operational analysis formulas derived from assumptions which are verifiable by th...

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Bibliographic Details
Published in:IEEE transactions on software engineering 1987-07, Vol.SE-13 (7), p.767-776
Main Author: Bengtson, N.M.
Format: Article
Language:English
Subjects:
Analysis
Applied sciences
Computational modeling
Computer errors
Computer science
Computer science
control theory
systems
Computer simulation
Computer systems performance. Reliability
Delay
Equations
Error analysis
Exact sciences and technology
Mathematical analysis
Measurement
Operational analysis
Performance analysis
performance measure assumptions
performance measures
Software
Software engineering
System performance
Systems development
Time measurement
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Description
Summary:Operational analysis, an area of study first defined in the computer science field, has been used in the analysis of systems performance. System performance measures for a specific set of output data are obtained using operational analysis formulas derived from assumptions which are verifiable by the observed data. This paper gives relationships which may be used to quantify the errors in these assumptions. Additionally, basic propositions are given which help in understanding operational analysis assumptions. These propositions are used in developing correction terms which can be used to adjust performance measures so that their values are exact for a set of data no matter how much the assumptions used in deriving the performance measure relations are violated.
ISSN:0098-5589
1939-3520
DOI:10.1109/TSE.1987.233488