Mon Jun 26 18:56:13 UTC 2017 Equivalence Class boundary and edge factor pairing Request data:Equivalence Class boundary and edge factor pairing
$Age
$Weight
$Height
$Sex
Intake
Medicare equivalence class
Child equivalence class
Adult equivalence class
$BMI_boundary
$Input_limit
#
19 20 64 65 2 129
Weight_boundary($Height,$BMI_boundary,$Input_limit)
64 71 30 89
female male
2000 3000 1 9999
Medicare_report($Age)
Child_report($Age,$Sex)
Adult_report_bv($Age,$BMI_boundary,$Input_limit)
18.5 25 30
min max
+ min $Weight edge
19 20 64 65 2 129
20
64 71 30 89
female male
2000 3000 1 9999
Medicare_report($Age)
Child_report($Age,$Sex)
Adult_report($Age,$Weight,$Height)
edge
min
+ max $Weight edge
19 20 64 65 2 129
499
64 71 30 89
female male
2000 3000 1 9999
Medicare_report($Age)
Child_report($Age,$Sex)
Adult_report($Age,$Weight,$Height)
edge
max
| #1. Combination function(s): Medicare_report() Child_report() Adult_report_bv() Adult_report() Substitution function(s): Weight_boundary()
Test Case ID | $Age | $Weight | $Height | $Sex | Intake | Medicare equivalence class | Child equivalence class | Adult equivalence class | $BMI_boundary | $Input_limit | Combo Countdown |
---|
| 6 Values | 3 Values | 4 Values | 2 Values | 4 Values | 2 Values | 3 Values | 5 Values | 4 Values | 2 Values | 543 | 1 | 64 | 337 | 89 | female | 2000 | no | no | overweight | 30 | max | 498 | 2 | 2 | 20 | 64 | male | 3000 | no | boy | no | edge | min | 453 | 3 | 129 | 133 | 71 | male | 1 | yes | no | normal | 18.5 | min | 410 | 4 | 65 | 499 | 30 | male | 9999 | yes | no | obese | edge | max | 370 | 5 | 19 | 33 | 30 | female | 2000 | no | girl | no | 25 | min | 335 | 6 | 20 | 107 | 64 | female | 9999 | no | no | underweight | 18.5 | max | 305 | 7 | 2 | 499 | 71 | female | 1 | no | girl | no | edge | max | 277 | 8 | 129 | 20 | 89 | female | 3000 | yes | no | underweight | edge | min | 253 | 9 | 65 | 146 | 64 | male | 3000 | yes | no | overweight | 25 | min | 234 | 10 | 20 | 216 | 71 | female | 3000 | no | no | obese | 30 | min | 218 | 11 | 2 | 281 | 89 | male | 9999 | no | boy | no | 25 | max | 202 | 12 | 64 | 20 | 71 | male | 2000 | no | no | underweight | edge | min | 188 | 13 | 19 | 174 | 64 | male | 1 | no | boy | no | 30 | max | 175 | 14 | 64 | 32 | 30 | female | 3000 | no | no | normal | 25 | max | 163 | 15 | 129 | 38 | 30 | female | 9999 | yes | no | overweight | 30 | max | 153 | 16 | 65 | 209 | 89 | female | 2000 | yes | no | normal | 18.5 | min | 143 | 17 | 20 | 20 | 30 | female | 1 | no | no | underweight | edge | min | 134 | 18 | 19 | 20 | 89 | female | 9999 | no | girl | no | edge | min | 125 | 19 | 20 | 499 | 64 | male | 2000 | no | no | obese | edge | max | 117 | 20 | 2 | 23 | 30 | male | 3000 | no | boy | no | 18.5 | max | 110 | 21 | 64 | 499 | 89 | male | 1 | no | no | obese | edge | max | 103 | 22 | 20 | 180 | 71 | male | 1 | no | no | overweight | 25 | min | 97 | 23 | 19 | 499 | 71 | male | 3000 | no | boy | no | edge | max | 91 | 24 | 64 | 108 | 64 | female | 9999 | no | no | normal | 18.5 | min | 86 | 25 | 2 | 337 | 89 | male | 2000 | no | boy | no | 30 | max | 83 | 26 | 19 | 132 | 71 | female | 9999 | no | girl | no | 18.5 | max | 80 | 27 | 129 | 146 | 64 | female | 2000 | yes | no | overweight | 25 | min | 77 | 28 | 65 | 215 | 71 | male | 1 | yes | no | overweight | 30 | max | 74 | 29 | 20 | 281 | 89 | female | 2000 | no | no | normal | 25 | max | 72 | 30 | 19 | 174 | 64 | female | 1 | no | girl | no | 30 | max | 70 | 31 | 65 | 20 | 89 | female | 2000 | yes | no | underweight | edge | min | 68 | 32 | 129 | 499 | 64 | male | 3000 | yes | no | obese | edge | max | 66 | 33 | 2 | 23 | 30 | female | 3000 | no | girl | no | 18.5 | max | 65 | | | 21 Subs | | | | | | | | |
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