Table 2 Precision and recall for persistence among different levenshtein values
From: A combined approach for concern identification in KDM models
Levenshtein values (only clustering algorithm) | ||||||||||
|---|---|---|---|---|---|---|---|---|---|---|
0.3 | 0.4 | 0.5 | 0.6 | 0.7 | ||||||
Systems | Precision (%) | Recall (%) | Precision (%) | Recall (%) | Precision (%) | Recall (%) | Precision (%) | Recall (%) | Precision (%) | Recall (%) |
HealthWatcher v10 | 34.31 | 100 | 41.53 | 58.03 | 46.68 | 52.23 | 46.02 | 46.45 | 46.74 | 43.76 |
PetStore v1.3.2 | 37.35 | 100 | 38.08 | 68.29 | 41.14 | 50.88 | 50.43 | 47.82 | 36.00 | 8.60 |
ProgradWeb | 49.03 | 100 | 28.47 | 47.24 | 29.23 | 36.77 | 25.58 | 6.18 | 45.45 | 6.64 |