Table 4 NSGA-II 3-objective solutions for CAS
From: A multi-objective test data generation approach for mutation testing of feature models
Id | Fitness values | |
|---|---|---|
| Â | (S,A,P) | (#prod.; score(%); pairwise cover) |
1 | (0.002; 0.687; 0.426) | (1; 31.278; 57.377) |
2 | (0.004; 0.533; 0.279) | (2; 46.696; 72.131) |
3 | (0.007; 0.396; 0.246) | (3; 60.352; 75.410) |
4 | (0.007; 0.427; 0.142) | (3; 57.269; 85.792) |
5 | (0.009; 0.317; 0,191) | (4; 68.282; 80.874) |
6 | (0.011; 0.189; 0.027) | (5; 81.057; 97.268) |
7 | (0.018; 0.141; 0.082) | (8; 85.903; 91.803) |
8 | (0.018; 0.145; 0.071) | (8; 85.463; 92.896) |
9 | (0.02; 0.110; 0.049) | (9; 88.987; 95.082) |
10 | (0.02; 0.145; 0.038) | (9; 85.463; 96.721) |
11 | (0.024; 0.079; 0.005) | (11; 92.070; 99.454) |
12 | (0.029; 0.062; 0.027) | (13; 93.833; 97.268) |
13 | (0.031; 0.044; 0.005) | (14; 95.595; 99.454) |
14 | (0.036; 0.062; 0) | (16; 93.833; 100) |
15 | (0.038; 0.040; 0.011) | (17; 96.035; 98.907) |
16 | (0.04; 0.035; 0.011) | (18; 96.476; 98.907) |
17 | (0.047; 0.013; 0.011) | Â |
18 | (0.049; 0.031; 0) | (22; 96.916; 100) |
19 | (0.049; 0.026; 0.005) | (22; 97.357; 99.454) |
20 | (0.058; 0.013; 0) | (26; 98.678; 100) |
21 | (0.073; 0.009; 0) | (33; 99.119; 100) |
22 | (0.084; 0.004; 0) | (38; 99.560; 100) |
23 | (0.1; 0; 0) | (45; 100; 100) |