[GRASS-QA] GRASS QA: neteler |global.h | no clones | 0 monsters |0 warnings

soccerlab.info at gmail.com soccerlab.info at gmail.com
Thu Aug 26 10:21:18 EDT 2010


Hello neteler,

here's a report on your recent grass-SVN change for the revision : 43284 

ANALYSIS 

your changes to files/class/methods/functions : 

*****************************************************************
          File :/raster/r.stream.order/global.h
*****************************************************************

The system don't find class, method and function
 in this file during analysis!
____________________________________________


Threshold grass key metrics values at Thu Aug 26 10:21:15 EDT 2010 are:
----------------------+-----------+-----------+-----------+
                      | warning   | middle    | extrem    |
                      | limits    | limits    | limits    |
----------------------+-----------+-----------+-----------+
Complexity (Cyclo):   |         9 |        19 |        30 |
ParamNBR:             |         3 |         6 |         9 |
CalledNBR:            |        18 |        43 |        69 |
LOC:                  |        66 |       148 |       231 |
----------------------+-----------+-----------+-----------+



Measures (see below Web page for details) :
    -Complexity (Cyclo): a complexity index 
    -ParamNBR: number of passed parameters 
    -CalledNBR: number of called functions 
    -LOC: Lines Of Code 
    -Global analysis: based on 21 metrics(the fourth preceding include)

Message interpretation :
    OK : Nothing to say at all
    *  : this is getting close to be out of range, consider revising the code
    ** : this is a baby monster, you should revise this function
    ***: this is a monster, definitely you should revise this function

Conclusion interpretation :
    CORRECT     : if all metrics are situated before warning limits
    WARNING     : if 1 to more metrics are between warning and middle limits
    BABY_MONSTER: if 1 to more metrics are between middle and extreme limits
    MONSTERS    : if 1 to more metrics are in the extreme limits


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