Showing posts with label magic. Show all posts
Showing posts with label magic. Show all posts

Tuesday, May 27, 2014

Results technique tables j*

Just with last gen values:

Techniques         -effort         -months        -defects          -risks    #
           T0 m              29              67              14               2    #
  T3 C25 N100 m               2              10               3               0    #
     T9:jlast m               0              35               0              22    #
-------------------------------------------------------------------------------------
           T0 q              26              16              20               6    #
  T3 C25 N100 q               2               0               5               1    #
     T9:jlast q               3              23               4              38    #
-------------------------------------------------------------------------------------
           T0 w             100             100             100              20    #
  T3 C25 N100 w              31              21              47               4    #
     T9:jlast w              32             100              56             100    #
-------------------------------------------------------------------------------------
            100         2687.38            41.4        17612.38             8.6    #
              0          117.21            1.92          381.83            0.03    #

Different Techniques:

Techniques         -effort         -months        -defects          -risks    #
           T0 m              22              44              10               2    #
  T3 C25 N100 m               4               6               3               0    #
      T9:j/j_ m               2              23               1              16    #
   T9:j/j_l20 m               6              30               4               4    #
    T9:j/j_l6 m               3              33               2               9    #
 T9:j/j_m0.01 m               3              26               2               5    #
  T9:j/j_m0.5 m               7              26               5               8    #
  T9:j/j_m0.7 m               3              25               1               2    #
  T9:j/j_p300 m               5              45               2               7    #
  T9:j/j_p500 m               0              16               0               4    #
-------------------------------------------------------------------------------------
           T0 q              20              11              15               4    #
  T3 C25 N100 q               4               0               4               1    #
      T9:j/j_ q               5              15               3              28    #
   T9:j/j_l20 q              20              20               7              14    #
    T9:j/j_l6 q               6              22               6              16    #
 T9:j/j_m0.01 q               7               9               3              14    #
  T9:j/j_m0.5 q              11              13               6              11    #
  T9:j/j_m0.7 q               7              21               2               7    #
  T9:j/j_p300 q              10              30               4              30    #
  T9:j/j_p500 q               0               8               1               9    #
-------------------------------------------------------------------------------------
           T0 w              71              65              68              15    #
  T3 C25 N100 w              22              13              32               3    #
      T9:j/j_ w              24              65              38              74    #
   T9:j/j_l20 w              52              59              26              54    #
    T9:j/j_l6 w              31              74              29              66    #
 T9:j/j_m0.01 w              26              58              14              79    #
  T9:j/j_m0.5 w              67              66             100              55    #
  T9:j/j_m0.7 w             100              69              34              37    #
  T9:j/j_p300 w              43             100              23             100    #
  T9:j/j_p500 w               6              33               6              60    #
-------------------------------------------------------------------------------------
            100          3798.0           62.54         25832.5           11.55    #
              0           28.96            1.89          163.65            0.04    #

m = mutation rate
p = population size
l = lives of bstop/generations

Monday, May 5, 2014

Magic Learner-JPL and others

FOR JPL


Study 1:

  1. Predict LogicalDelivered, excluding EKLOC, inheritance.
  2. Predict LogicalEKLOC, excluding delivered, and including inheritance.
Study 2:
  1. Boring COCOMO using 1.1
  2. Boring COCOMO using 1.2

Boring COCOMO ready and set to go.

Effort Predictions(val2):


so, we need a LOO experiment where we:
    0) cluster the dense columns 
    1)  take the "left out" example,  described in terms of:
                a) the new columns ("new" means "not traditional cocomo")
                b) its "class" e.g. "flight systems"
                c) act effort 
    2)  find the "left out" example's cluster and extract the LOC in that cluster
               - note: until step 5 we will ignore the actual effort
    3)  go to darren's rig and generate effort predictions (constrained by (2) and (1b))
    4) show the 50 to 70th percentile range of (3)
    5) mark on that  range the actual effort
    6) dance and sing if the the actual effort (from 1c) is in the range of (5


http://unbox.org/things/var/nave/lpj/out/master/effort_check_with_cocomo_50_70.xlsx


Graphs learnt on whole *old+new* with specific conditions(val0):




OTHER THAN JPL

Results for tables showing different techniques:

http://unbox.org/things/var/nave/lpj/out/master/*preptab*.dat

Contrast sets sorted:

http://unbox.org/things/var/nave/lpj/out/master/*contrast_sets_sorted.dat

Trees for different models:

http://unbox.org/things/var/nave/lpj/out/master/*dtree*.dat

Other graphs:


MRE with and without learning 20 records around cluster centroid: