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13.2.3 Standard Output


The Resource Component Analyzer currently produces a single 
printed output: The Resource Component Analysis Report. This      
report contains a set of simple descriptive statistics for   
the Analysis element and each of the component definition
values, as well the relative importance weight assigned to
the individual components.  A sample of this report is
shown next.

Resource Component Analysis Report Report For: 01/27/04 Feature Description Minimum Maximum Average Std. Dev. CV Rel. Imp. ________ ________________________________________ ____________ ____________ ____________ ____________ ______ _________ CPUADBTM Adjusted Processor Busy Time 19:48:03.06 177:30:19.63 150:24:18.49 28:23:26.31 18.88 BATCH Batch Processor Usage Time 1:34:22.97 23:54:35.96 12:30:32.64 4:29:03.99 35.85 0.1261 DATABASE Database Processor Usage Time 6:32:51.97 76:14:35.50 57:31:46.57 13:15:40.67 23.05 0.4012 ONLINE Online Systems Processor Usage Time 4:03:04.13 39:19:11.42 33:07:25.75 6:37:24.04 20.00 0.3231 TSO TSO Processor Usage Time 0:02:28.15 0:54:55.72 0:17:59.79 0:07:52.44 43.75 0.1496 Total Relative Importance Weights: 1.0000


  Figure 13-2.01.  Resource Component Analysis Report

 The Resource Component Analysis report contains the
 following information:

 ELEMENT:      The name of the Analysis or Training element
               being analyzed.

 DESCRIPTION:  The SAS label of the selected data element,
               from either the CA MICS GENLIB definition or
               supplied by the user.

 MIN.          The minimum value of the selected data element
 VALUE:        observed in the input data.

 MAX.          The maximum value of the selected data element
 VALUE:        observed in the input data.

 MEAN          The mean of the values of the selected data
 VALUE:        element observed in the input data.

 STD:          The standard deviation of the values of the
               selected data element observed in the input
               data.

 CV:           The coefficient of variance of the values of
               the selected data element observed in the
               input data.  This is a standard statistic and
               is a ratio of the mean and standard deviation
               measurements.

 REL.          The Relative Importance of this particular
 IMP.:         component as a function of the Analysis
               element value.  Neugents technology computes
               this value internally using a mixture of both
               linear and nonlinear techniques and expresses
               this as a ratio or weight factor, relative to
               100.