Table 14 Descriptive statistics of the internal class attribute metrics (K-means clustering)
From: A metrics suite for JUnit test code: a multiple case study on open source software
| Â | Cluster 1 | Cluster 2 | Cluster 3 | Cluster 4 | Cluster 5 | |
|---|---|---|---|---|---|---|
Nb. Obs. | 587 | 267 | 118 | 38 | 17 | |
CBO | Min | 0 | 0 | 0 | 4 | 3 |
Max | 44 | 68 | 57 | 92 | 111 | |
Mean (μ) | 6.06 | 14.461 | 24.56 | 43.03 | 43.71 | |
Std. Dev (σ) | 5.42 | 10.03 | 12.33 | 19.90 | 28.83 | |
LOC | Min | 2 | 124 | 292 | 592 | 1134 |
Max | 128 | 288 | 562 | 1039 | 2644 | |
Mean (μ) | 61.57 | 192.56 | 387.11 | 770.45 | 1458.24 | |
Std. Dev (σ) | 33.27 | 48.30 | 77.07 | 134.68 | 406.54 | |
WMC | Min | 0 | 3 | 16 | 10 | 10 |
Max | 86 | 98 | 157 | 231 | 557 | |
Mean (μ) | 13.33 | 38.69 | 77.86 | 137.34 | 224.29 | |
Std. Dev (σ) | 8.68 | 13.99 | 22.52 | 48.71 | 154.63 | |