Table 5.
Summary of evaluation indicators
| Paper Title | Experimental evaluation indicators |
|---|---|
| [50] | Amount of successful reverse |
| [51] | Accuracy,Precision, Recall, F1 score |
| [52] | CFG Soundness, CFG Completeness, Analysis Time |
| [53] | Match Accuracy, Template Accuracy, Transfer Accuracy |
| [54] | Accuracy of Extraction, Time Overhead, Memory Overhead |
| [57] | The highest rate of precise clusters, Correctness, Concisness |
| [58] | Conciseness, Coverage |
| [59] | Purity, F1 score, recall |
| [60] | Homogeneity Score, Completeness Score |
| [61] | Correctness, Conciseness |
| [62] | Correctness, Perfection |
| [64] | Precision, Recall, F1 score Coverage |
| [65] | Sub-message alignment matching score |
| [67] | Keyword Extraction Correctness |
| [68] | The total average match rate, Exact match ratio |
| [69] | Match ratio, DTA time, Offline time |
| [71] | Precision, Recall, F1 score |
| [72] | Coverage (Cov), Accuracy over Coverage (AoC) |
| [73] | Correctness, Effectiveness |
| [75] | Homogeneity, Completeness, V-measure |
| [76] | Correctness, Perfection, F1 Score |
| [77] | Field split accuracy, Semantic recognition accuracy |
| [78] | Coverage, Conciseness, Perfection |
| [79] | Calculation Amount, Accuracy |
| [80] | Precision, Recall, F1-score |
| [81] | Precision, Recall, F1 score, Conciseness Efficiency |
| [82] | Number of nodes, Number of edges, Graph density, Number of recurring patterns |
| [83] | Classification Accuracy |
| [84] | States, Membership queries, Equivalence queries, Learning time |
| [46] | Detection accuracy, Detection time |
| [48] | Scan cycle time |
| [49] | Accuracy, Sensitivity, Specificity |
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