Research Article

Genetic Algorithm-Based Test Data Generation for Multiple Paths via Individual Sharing

Table 5

Number of evaluations and success rate of different fitness functions.

Programs Sharing No sharing
Ave. (s) S.D. Sh.R (%) Ave. (s) S.D.

Insertion sort 17.62 4.24 34.6 24.74 5.91
Bubble sort6.383.7245.611.034.93
Triangle 12.92 5.72 41.3 20.83 7.73
Binary search 39.82 8.18 32.4 48.49 10.93
Gcd 32.74 7.25 36.7 43.83 8.89
Look 16.26 6.32 31.8 22.63 7.83
Comm 30.77 11.86 45.6 50.35 16.37
Cal 39.27 9.06 39.3 55.92 12.83
Controller 46.72 11.72 33.9 63.52 12.89
Tcas 38.62 9.29 32.7 46.83 10.94
Col 75.61 16.72 35.3 103.73 24.65
Spline 50.72 17.75 37.8 69.93 23.89
Tot_info 79.92 20.85 37.9 121.78 26.78
Schedule2 73.88 24.25 31.8 97.62 30.57
Printtok 36.83 15.73 33.7 48.29 19.82
Schedule 45.74 17.99 29.8 65.23 18.74
Replace 141.23 44.27 41.3 176.34 42.87
Barcode 183.53 39.83 39.4 265.72 47.31