change base_model.py

Author: Naplues

result/RQ2/Statistics/BH_p_values.csv

@@ -0,0 +1,9 @@
+"name","NGram","NGram_C","TMI_LR","TMI_SVM","TMI_MNB","TMI_DT","TMI_RF","LineDP"
+"recall",1.87285481028359e-10,1.27604338360691e-20,1.52109717222353e-21,1.52109717222353e-21,6.71249288592909e-19,1.52109717222353e-21,1.52109717222353e-21,1.52109717222353e-21
+"far",7.52075265205066e-19,0.173189816414316,1.52109717222353e-21,1.52109717222353e-21,0.072776174986797,1.52109717222353e-21,1.52109717222353e-21,1.52109717222353e-21
+"ce",4.26231503646633e-17,3.57056029472146e-21,1.52109717222353e-21,1.52109717222353e-21,3.13778314020984e-20,1.52109717222353e-21,1.52109717222353e-21,1.52109717222353e-21
+"d2h",1.32489182208666e-14,7.39565177618716e-21,1.52109717222353e-21,1.52109717222353e-21,1.26754653716395e-18,1.52109717222353e-21,1.52109717222353e-21,1.52109717222353e-21
+"mcc",3.90897063965622e-21,1.58261872400328e-21,3.69811472700596e-20,7.65753469869576e-20,2.10508179435394e-21,1.52109717222353e-21,1.52109717222353e-21,4.71809777155559e-21
+"ifa",4.52909682166558e-12,8.15393451118239e-16,0.0332470506095718,0.0431238908245842,1.70644430262023e-09,0.562390604160558,0.342839501073457,0.00749301631788471
+"recall_20",2.00715856222663e-14,2.3651713872809e-20,1.52109717222353e-21,1.52109717222353e-21,5.68649655323065e-18,1.52109717222353e-21,8.51438551521157e-21,6.33148906228929e-15
+"ratio",2.48083414336022e-05,1.14361471415013e-16,1.52109717222353e-21,1.52109717222353e-21,6.5927736821101e-14,1.52109717222353e-21,1.52109717222353e-21,5.37993471989837e-21

result/RQ3/Statistics/BH_p_values.csv

@@ -0,0 +1,9 @@
+"name","PMD","CheckStyle"
+"recall",2.8551544020024e-21,1.366022223333e-20
+"far",1.366022223333e-20,0.480520818731706
+"ce",2.8551544020024e-21,4.49661591532612e-21
+"d2h",2.8551544020024e-21,1.16452012929794e-20
+"mcc",2.8551544020024e-21,2.8551544020024e-21
+"ifa",6.25138266101127e-06,1.59710138199397e-16
+"recall_20",2.8551544020024e-21,1.39915352573231e-20
+"ratio",3.16580118369903e-20,2.27420362224682e-13

src/models/__pycache__/base_model.cpython-38.pyc

@@ -242,8 +242,8 @@ def analyze_line_level_result(self):
             ifa, r_20 = self.rank_strategy_3()  # Strategy 1
 
         ################################ Bug hit ratio ################################################
-        # buggy_lines_dict = read_dict_from_file(f'{self.commit_buggy_path}/{self.test_release}_commit_buggy_lines.csv')
-        buggy_lines_dict = {}  # = read_dict_from_file(f'{self.commit_buggy_path}/{self.test_release}_commit_buggy_lines.csv')
+        buggy_lines_dict = read_dict_from_file(f'{self.commit_buggy_path}/{self.test_release}_commit_buggy_lines.csv')
+        # buggy_lines_dict = {}  # = read_dict_from_file(f'{self.commit_buggy_path}/{self.test_release}_commit_buggy_lines.csv')
         total_bugs = len(buggy_lines_dict.keys())
         hit_bugs = set()
         for line in self.predicted_buggy_lines: