def main():
from Model import model_creator
import version_operator as vo
# TODO arg value
# ex01.ITER = 10
# ex01.PRED_TYPE = 'rf'
model_dict = model_creator.get_model_dictionary()
jobs = []
# model_dict = restrict_models(model_dict)
for sw_name, models in model_dict.items():
print(sw_name)
for model in models:
ex01.TARGET = model.dir_name
metrics_dir = '/Users/{}/Dropbox/STUDY/{}/Derby/all'\
.format(ENV, model.dir_name)
ex01.METRICS_DIR = metrics_dir
"""
ここに実行する実験メソッドを書けば良い
"""
# vo.adjust_bug_list(model)
job = Process(target=exp, args=(model, metrics_dir))
jobs.append(job)
job.start()
"""
このインデントを維持する。
"""
[jb.join() for jb in jobs]
def test_exp_model_set_param_dict():
from Model import model_creator
models = []
model_dict = model_creator.get_model_dictionary()
[models.extend(ms) for _, ms in model_dict.items()]
for model in models:
print(model.param_dictionary)
def main():
from Model import model_creator
import version_operator as vo
config_logger()
model_dict = model_creator.get_model_dictionary()
jobs = []
model_dict = retrieb_models(model_dict)
for _, models in model_dict.items():
for model in models:
# count_fp_nums(model)
"""
ここに実行する実験メソッドを書けば良い
"""
# vo.adjust_bug_list(model)
# job = Process(target=exe_DIMA, args=(model,))
# job = Process(target=retrieb_bug_list, args=(model,))
# job = Process(target=merge_process_bug, args=(model,))
# job = Process(target=merge_process_bug_derby, args=(model,))
# job = Process(target=merge_process_product, args=(model,))
job = Process(target=execute_ex01, args=(model,))
# job = Process(target=execute_ex01_prob, args=(model,))
# job = Process(target=draw_metrics_distribution, args=(model,))
# job = Process(target=execute_grid_search, args=(model,))
# job = Process(target=count_fp_nums, args=(model,))
jobs.append(job)
job.start()
"""
このインデントを維持する。
"""
[jb.join() for jb in jobs]
def test_get_exp_versions():
from Model import model_creator
model_dict = model_creator.get_model_dictionary()
models = []
[models.extend(ms) for _, ms in model_dict.items()]
print(str(len(models)))
for model in models:
print(model.sw_name, model.previous_version)
def create_all_models():
from Model import model_creator
import version_operator as vo
model_dict = model_creator.get_model_dictionary()
jobs = []
# model_dict = retrieb_models(model_dict)
all_models = []
for _, models in model_dict.items():
# models = retrieb_model_specified_versions(models)
for model in models:
all_models.append(model)
return all_models
def _main():
from Model import model_creator
import version_operator as vo
import exp_execution as ex1
model_dict = model_creator.get_model_dictionary(exp_num=2)
jobs = []
# model_dict = retrieb_models(model_dict)
for _, models in model_dict.items():
# models = retrieb_model_specified_version(models)
for model in models:
"""
ここに実行する実験メソッドを書けば良い
"""
print(model.sw_name, model.final_version, model.previous_version)
ex1.execute_ex01(model)
def main():
import csv
f = open('sw_indecies.csv', 'w')
writer = csv.writer(f, lineterminator='\n')
model_dict = model_creator.get_model_dictionary()
indecies_list = []
col_list = ['total modules', 'modified modules', 'bug modules',
'modified bug modules']
writer.writerow(col_list)
for sw_name, models in model_dict.items():
for model in models:
print(sw_name, model.final_version)
metrics_dir = "/Users/{}/Dropbox/STUDY/Metrics/".format(ENV)
version = model.final_version
metrics = Metrics_Origin(version, metrics_dir, model)
modified_df, modified_fault = metrics.get_modified_df()
df = pd.concat([modified_df, modified_fault], axis=1)
modified_df = df.rename(columns = {df.columns[-1]:'fault'})
mrg_df, fault = metrics.mrg_df, metrics.fault
df = pd.concat([mrg_df, fault], axis=1)
df = df.rename(columns = {df.columns[-1]:'fault'})
# print(df)
li = ['{} {}'.format(sw_name, model.final_version)]
# 総モジュール数
print('total modules, {}'.format(len(df)))
li.append(len(df))
# 変更モジュール数
print('modified modules, {}'.format(len(modified_df)))
li.append(len(modified_df))
# 総欠陥数
d = df[fault.apply(lambda x: x==1)]
print('bug modules, {}'.format(len(d)))
li.append(len(d))
# 変更が合ったうちの総欠陥数
d = modified_df[fault.apply(lambda x: x==1)]
print('modified bug modules, {}'.format(len(d)))
li.append(len(d))
writer.writerow(li)