def extract_features_to_version(self, classes_data, method_data, version):
extractors = Extractor.get_all_extractors(self.project, version)
for extractor in extractors:
extractor.extract()
db = DataBuilder(self.project, version)
list(map(lambda d: db.append(d), DataNameEnum))
classes_df, methods_df = db.build()
intermediate_dir = Config.get_work_dir_path(
os.path.join(Config().config['CACHING']['RepositoryData'],
Config().config['VERSION_METRICS']['Intermediate'],
self.project.github()))
classes_intermediate_dir = os.path.join(intermediate_dir, "classes")
methods_intermediate_dir = os.path.join(intermediate_dir, "methods")
Path(classes_intermediate_dir).mkdir(parents=True, exist_ok=True)
Path(methods_intermediate_dir).mkdir(parents=True, exist_ok=True)
classes_df.to_csv(os.path.join(classes_intermediate_dir,
version + ".csv"),
index=False,
sep=';')
methods_df.to_csv(os.path.join(methods_intermediate_dir,
version + ".csv"),
index=False,
sep=';')
methods_df = self.fillna(methods_df)
aggregated_methods_df = self.aggrate_methods_df(methods_df)
classes_df.dropna(inplace=True)
classes_df.to_csv(os.path.join(intermediate_dir, "classes_df.csv"),
index=False,
sep=';')
aggregated_methods_df.to_csv(os.path.join(intermediate_dir,
"aggregated_methods_df.csv"),
index=False,
sep=';')
if 'Class' in classes_df.columns and 'Class' in aggregated_methods_df.columns:
classes_df = classes_df.merge(aggregated_methods_df,
on=['File', 'Class'],
how='outer')
else:
classes_df = classes_df.merge(aggregated_methods_df,
on=['File'],
how='outer')
classes_df.to_csv(os.path.join(intermediate_dir,
"classes_df_afterMerge.csv"),
index=False,
sep=';')
classes_df = self.fillna(classes_df)
classes_df.to_csv(os.path.join(classes_data, version + ".csv"),
index=False,
sep=';')
methods_df = methods_df.drop('File', axis=1, errors='ignore')
methods_df = methods_df.drop('Class', axis=1, errors='ignore')
methods_df = methods_df.drop('Method', axis=1, errors='ignore')
methods_df.to_csv(os.path.join(method_data, version + ".csv"),
index=False,
sep=';')
return classes_df, methods_df
def build_dataset(version, project):
general_log = logging.getLogger(__name__)
success_log = logging.getLogger("success")
failure_log = logging.getLogger("failure")
failure_verbose_log = logging.getLogger("failure_verbose")
try:
db = DataBuilder(project, version)
db.append(DataNameEnum.ImperativeAbstraction)
db.append(DataNameEnum.MultifacetedAbstraction)
db.append(DataNameEnum.UnnecessaryAbstraction)
db.append(DataNameEnum.UnutilizedAbstraction)
db.append(DataNameEnum.DeficientEncapsulation)
db.append(DataNameEnum.UnexploitedEncapsulation)
db.append(DataNameEnum.BrokenModularization)
db.append(DataNameEnum.Cyclic_DependentModularization)
db.append(DataNameEnum.InsufficientModularization)
db.append(DataNameEnum.Hub_likeModularization)
db.append(DataNameEnum.BrokenHierarchy)
db.append(DataNameEnum.CyclicHierarchy)
db.append(DataNameEnum.DeepHierarchy)
db.append(DataNameEnum.MissingHierarchy)
db.append(DataNameEnum.MultipathHierarchy)
db.append(DataNameEnum.RebelliousHierarchy)
db.append(DataNameEnum.WideHierarchy)
db.append(DataNameEnum.Bugged)
general_log.info("{0} | {1} | building dataset".format(
project.github(), version))
classes_df, methods_df = db.build()
if not classes_df.empty:
success_log.info("{0} | {1} | succeeded building dataset".format(
project.github(), version))
else:
raise Exception("Designite smells dataset is empty.")
return classes_df
except Exception:
failure_log.error(
"{0} | {1} | (exception) failed building dataset".format(
project.github(), version))
failure_verbose_log.exception(
"{0} | {1} | failed building dataset".format(
project.github(), version))
return None
def build_dataset(version, project):
general_log = logging.getLogger(__name__)
success_log = logging.getLogger("success")
failure_log = logging.getLogger("failure")
failure_verbose_log = logging.getLogger("failure_verbose")
try:
db = DataBuilder(project, version)
db.append(DataNameEnum.GodClass)
db.append(DataNameEnum.ClassDataShouldBePrivate)
db.append(DataNameEnum.ComplexClass)
db.append(DataNameEnum.LazyClass)
db.append(DataNameEnum.RefusedBequest)
db.append(DataNameEnum.SpaghettiCode)
db.append(DataNameEnum.SpeculativeGenerality)
db.append(DataNameEnum.DataClass)
db.append(DataNameEnum.BrainClass)
db.append(DataNameEnum.LargeClass)
db.append(DataNameEnum.SwissArmyKnife)
db.append(DataNameEnum.AntiSingleton)
db.append(DataNameEnum.FeatureEnvy)
db.append(DataNameEnum.LongMethod_Organic)
db.append(DataNameEnum.LongParameterList_Organic)
db.append(DataNameEnum.MessageChain)
db.append(DataNameEnum.DispersedCoupling)
db.append(DataNameEnum.IntensiveCoupling)
db.append(DataNameEnum.ShotgunSurgery)
db.append(DataNameEnum.BrainMethod)
db.append(DataNameEnum.ImperativeAbstraction)
db.append(DataNameEnum.MultifacetedAbstraction)
db.append(DataNameEnum.UnnecessaryAbstraction)
db.append(DataNameEnum.UnutilizedAbstraction)
db.append(DataNameEnum.DeficientEncapsulation)
db.append(DataNameEnum.UnexploitedEncapsulation)
db.append(DataNameEnum.BrokenModularization)
db.append(DataNameEnum.Cyclic_DependentModularization)
db.append(DataNameEnum.InsufficientModularization)
db.append(DataNameEnum.Hub_likeModularization)
db.append(DataNameEnum.BrokenHierarchy)
db.append(DataNameEnum.CyclicHierarchy)
db.append(DataNameEnum.DeepHierarchy)
db.append(DataNameEnum.MissingHierarchy)
db.append(DataNameEnum.MultipathHierarchy)
db.append(DataNameEnum.RebelliousHierarchy)
db.append(DataNameEnum.WideHierarchy)
db.append(DataNameEnum.Bugged)
general_log.info("{0} | {1} | building dataset".format(
project.github(), version))
classes_df, methods_df = db.build()
if not classes_df.empty:
success_log.info("{0} | {1} | succeeded building dataset".format(
project.github(), version))
else:
raise Exception("Fowler smells dataset is empty.")
def union_smell(value):
return any(value)
aggregation_fns = {
feature: union_smell
for feature in list(methods_df.columns)[3:]
}
aggregated_methods_df = methods_df.groupby(
['File', 'Class']).aggregate(aggregation_fns).reset_index()
classes_df.dropna(inplace=True)
dataset = classes_df.merge(aggregated_methods_df,
on=['File', 'Class'],
how='outer')
dataset.fillna(False, inplace=True)
return dataset
except Exception:
failure_log.error(
"{0} | {1} | (exception) failed building dataset".format(
project.github(), version))
failure_verbose_log.exception(
"{0} | {1} | failed building dataset".format(
project.github(), version))
return None
def build_dataset(version, project):
general_log = logging.getLogger(__name__)
success_log = logging.getLogger("success")
failure_log = logging.getLogger("failure")
failure_verbose_log = logging.getLogger("failure_verbose")
try:
db = DataBuilder(project, version)
db.append(DataNameEnum.ImperativeAbstraction)
db.append(DataNameEnum.MultifacetedAbstraction)
db.append(DataNameEnum.UnnecessaryAbstraction)
db.append(DataNameEnum.UnutilizedAbstraction)
db.append(DataNameEnum.DeficientEncapsulation)
db.append(DataNameEnum.UnexploitedEncapsulation)
db.append(DataNameEnum.BrokenModularization)
db.append(DataNameEnum.Cyclic_DependentModularization)
db.append(DataNameEnum.InsufficientModularization)
db.append(DataNameEnum.Hub_likeModularization)
db.append(DataNameEnum.BrokenHierarchy)
db.append(DataNameEnum.CyclicHierarchy)
db.append(DataNameEnum.DeepHierarchy)
db.append(DataNameEnum.MissingHierarchy)
db.append(DataNameEnum.MultipathHierarchy)
db.append(DataNameEnum.RebelliousHierarchy)
db.append(DataNameEnum.WideHierarchy)
db.append(DataNameEnum.CBO)
db.append(DataNameEnum.WMC_CK)
db.append(DataNameEnum.RFC)
db.append(DataNameEnum.LOCMethod_CK)
db.append(DataNameEnum.Returns)
db.append(DataNameEnum.NumberOfVariables)
db.append(DataNameEnum.NumberOfParameters_CK)
db.append(DataNameEnum.NumberOfLoops)
db.append(DataNameEnum.NumberOfComparisons)
db.append(DataNameEnum.NumberOfTryCatch)
db.append(DataNameEnum.NumberOfParenthesizedExps)
db.append(DataNameEnum.NumberOfStringLiterals)
db.append(DataNameEnum.NumberOfNumbers)
db.append(DataNameEnum.NumberOfAssignments)
db.append(DataNameEnum.NumberOfMathOperations)
db.append(DataNameEnum.MaxNumberOfNestedBlocks)
db.append(DataNameEnum.NumberOfAnonymousClasses)
db.append(DataNameEnum.NumberOfInnerClasses)
db.append(DataNameEnum.NumberOfLambdas)
db.append(DataNameEnum.NumberOfUniqueWords)
db.append(DataNameEnum.NumberOfModifiers)
db.append(DataNameEnum.NumberOfLogStatements)
db.append(DataNameEnum.NumberOfFields)
db.append(DataNameEnum.NumberOfPublicFields)
db.append(DataNameEnum.NumberOfMethods_Designite)
db.append(DataNameEnum.NumberOfPublicMethods_Designite)
db.append(DataNameEnum.NumberOfChildren)
db.append(DataNameEnum.DepthOfInheritance)
db.append(DataNameEnum.LOCClass)
db.append(DataNameEnum.LCOM)
db.append(DataNameEnum.FANIN)
db.append(DataNameEnum.FANOUT)
db.append(DataNameEnum.TotalNumberOfOperators)
db.append(DataNameEnum.NumberOfDistinctOperators)
db.append(DataNameEnum.TotalNumberOfOperands)
db.append(DataNameEnum.NumberOfDistinctOperands)
db.append(DataNameEnum.Length)
db.append(DataNameEnum.Vocabulary)
db.append(DataNameEnum.Volume)
db.append(DataNameEnum.Difficulty)
db.append(DataNameEnum.Effort)
db.append(DataNameEnum.NCSSForThisFile)
db.append(DataNameEnum.NestedIfElseDepth)
db.append(DataNameEnum.BooleanExpressionComplexity)
db.append(DataNameEnum.CyclomaticComplexity)
db.append(DataNameEnum.NCSSForThisMethod)
db.append(DataNameEnum.NPathComplexity)
db.append(DataNameEnum.ThrowsCount)
db.append(DataNameEnum.NCSSForThisClass)
db.append(DataNameEnum.ExecutableStatementCount)
db.append(DataNameEnum.MethodLength)
db.append(DataNameEnum.FileLength)
db.append(DataNameEnum.NumberOfMethods_Checkstyle)
db.append(DataNameEnum.NumberOfPublicMethods_Checkstyle)
db.append(DataNameEnum.ClassFanOutComplexity)
db.append(DataNameEnum.ClassDataAbstractionCoupling)
db.append(DataNameEnum.Bugged)
general_log.info("{0} | {1} | building dataset".format(
project.github(), version))
classes_df, methods_df = db.build()
if not classes_df.empty:
success_log.info("{0} | {1} | succeeded building dataset".format(
project.github(), version))
else:
raise Exception("Fowler smells dataset is empty.")
def mean_or_union(rows):
if rows.dtypes.name == 'bool':
return any(rows)
try:
return np.mean(rows)
except TypeError as e:
rows = rows.astype('int64')
return np.mean(rows)
# file-class conversion leaves rows without values(nan) - drop them
classes_df.dropna(inplace=True)
values = {feature: 0 for feature in list(methods_df.columns)}
values.update(dict(zip(('File', 'Class', 'Method'), ['nan'] * 3)))
methods_df.fillna(value=values, inplace=True)
methods_df.dropna(inplace=True)
aggregation_fns = {
feature: mean_or_union
for feature in list(methods_df.columns)[3:]
}
aggregated_methods_df = methods_df.groupby(
['File', 'Class']).aggregate(aggregation_fns).reset_index()
dataset = classes_df.merge(aggregated_methods_df,
on=['File', 'Class'],
how='outer')
dataset.dropna(inplace=True)
return dataset
except Exception:
failure_log.error(
"{0} | {1} | (exception) failed building dataset".format(
project.github(), version))
failure_verbose_log.exception(
"{0} | {1} | failed building dataset".format(
project.github(), version))
return None
def get_designite_builder(project, version):
db = DataBuilder(project, version)
db.append(DataName.ImperativeAbstraction)
db.append(DataName.MultifacetedAbstraction)
db.append(DataName.UnnecessaryAbstraction)
db.append(DataName.UnutilizedAbstraction)
db.append(DataName.DeficientEncapsulation)
db.append(DataName.UnexploitedEncapsulation)
db.append(DataName.BrokenModularization)
db.append(DataName.Cyclic_DependentModularization)
db.append(DataName.InsufficientModularization)
db.append(DataName.Hub_likeModularization)
db.append(DataName.BrokenHierarchy)
db.append(DataName.CyclicHierarchy)
db.append(DataName.DeepHierarchy)
db.append(DataName.MissingHierarchy)
db.append(DataName.MultipathHierarchy)
db.append(DataName.RebelliousHierarchy)
db.append(DataName.WideHierarchy)
db.append(DataName.Bugged)
return db
def get_traditional_builder(project, version):
db = DataBuilder(project, version)
db.append(DataName.CBO)
db.append(DataName.WMC_CK)
db.append(DataName.RFC)
db.append(DataName.LOCMethod_CK)
db.append(DataName.Returns)
db.append(DataName.NumberOfVariables)
db.append(DataName.NumberOfParameters_CK)
db.append(DataName.NumberOfLoops)
db.append(DataName.NumberOfComparisons)
db.append(DataName.NumberOfTryCatch)
db.append(DataName.NumberOfParenthesizedExps)
db.append(DataName.NumberOfStringLiterals)
db.append(DataName.NumberOfNumbers)
db.append(DataName.NumberOfAssignments)
db.append(DataName.NumberOfMathOperations)
db.append(DataName.MaxNumberOfNestedBlocks)
db.append(DataName.NumberOfAnonymousClasses)
db.append(DataName.NumberOfInnerClasses)
db.append(DataName.NumberOfLambdas)
db.append(DataName.NumberOfUniqueWords)
db.append(DataName.NumberOfModifiers)
db.append(DataName.NumberOfLogStatements)
db.append(DataName.NumberOfFields)
db.append(DataName.NumberOfPublicFields)
db.append(DataName.NumberOfMethods_Designite)
db.append(DataName.NumberOfPublicMethods_Designite)
db.append(DataName.NumberOfChildren)
db.append(DataName.DepthOfInheritance)
db.append(DataName.LOCClass)
db.append(DataName.LCOM)
db.append(DataName.FANIN)
db.append(DataName.FANOUT)
db.append(DataName.TotalNumberOfOperators)
db.append(DataName.NumberOfDistinctOperators)
db.append(DataName.TotalNumberOfOperands)
db.append(DataName.NumberOfDistinctOperands)
db.append(DataName.Length)
db.append(DataName.Vocabulary)
db.append(DataName.Volume)
db.append(DataName.Difficulty)
db.append(DataName.Effort)
db.append(DataName.NCSSForThisFile)
db.append(DataName.NestedIfElseDepth)
db.append(DataName.BooleanExpressionComplexity)
db.append(DataName.CyclomaticComplexity)
db.append(DataName.NCSSForThisMethod)
db.append(DataName.NPathComplexity)
db.append(DataName.ThrowsCount)
db.append(DataName.NCSSForThisClass)
db.append(DataName.ExecutableStatementCount)
db.append(DataName.MethodLength)
db.append(DataName.FileLength)
db.append(DataName.NumberOfMethods_Checkstyle)
db.append(DataName.NumberOfPublicMethods_Checkstyle)
db.append(DataName.ClassFanOutComplexity)
db.append(DataName.ClassDataAbstractionCoupling)
db.append(DataName.Bugged)
return db
def get_designite_fowler_traditional_builder(project, version):
db = DataBuilder(project, version)
db.append(DataName.ImperativeAbstraction)
db.append(DataName.MultifacetedAbstraction)
db.append(DataName.UnnecessaryAbstraction)
db.append(DataName.UnutilizedAbstraction)
db.append(DataName.DeficientEncapsulation)
db.append(DataName.UnexploitedEncapsulation)
db.append(DataName.BrokenModularization)
db.append(DataName.Cyclic_DependentModularization)
db.append(DataName.InsufficientModularization)
db.append(DataName.Hub_likeModularization)
db.append(DataName.BrokenHierarchy)
db.append(DataName.CyclicHierarchy)
db.append(DataName.DeepHierarchy)
db.append(DataName.MissingHierarchy)
db.append(DataName.MultipathHierarchy)
db.append(DataName.RebelliousHierarchy)
db.append(DataName.WideHierarchy)
db.append(DataName.GodClass)
db.append(DataName.ClassDataShouldBePrivate)
db.append(DataName.ComplexClass)
db.append(DataName.LazyClass)
db.append(DataName.RefusedBequest)
db.append(DataName.SpaghettiCode)
db.append(DataName.SpeculativeGenerality)
db.append(DataName.DataClass)
db.append(DataName.BrainClass)
db.append(DataName.LargeClass)
db.append(DataName.SwissArmyKnife)
db.append(DataName.AntiSingleton)
db.append(DataName.FeatureEnvy)
db.append(DataName.LongMethod_Organic)
db.append(DataName.LongParameterList_Organic)
db.append(DataName.MessageChain)
db.append(DataName.DispersedCoupling)
db.append(DataName.IntensiveCoupling)
db.append(DataName.ShotgunSurgery)
db.append(DataName.BrainMethod)
db.append(DataName.CBO)
db.append(DataName.WMC_CK)
db.append(DataName.RFC)
db.append(DataName.LOCMethod_CK)
db.append(DataName.Returns)
db.append(DataName.NumberOfVariables)
db.append(DataName.NumberOfParameters_CK)
db.append(DataName.NumberOfLoops)
db.append(DataName.NumberOfComparisons)
db.append(DataName.NumberOfTryCatch)
db.append(DataName.NumberOfParenthesizedExps)
db.append(DataName.NumberOfStringLiterals)
db.append(DataName.NumberOfNumbers)
db.append(DataName.NumberOfAssignments)
db.append(DataName.NumberOfMathOperations)
db.append(DataName.MaxNumberOfNestedBlocks)
db.append(DataName.NumberOfAnonymousClasses)
db.append(DataName.NumberOfInnerClasses)
db.append(DataName.NumberOfLambdas)
db.append(DataName.NumberOfUniqueWords)
db.append(DataName.NumberOfModifiers)
db.append(DataName.NumberOfLogStatements)
db.append(DataName.NumberOfFields)
db.append(DataName.NumberOfPublicFields)
db.append(DataName.NumberOfMethods_Designite)
db.append(DataName.NumberOfPublicMethods_Designite)
db.append(DataName.NumberOfChildren)
db.append(DataName.DepthOfInheritance)
db.append(DataName.LOCClass)
db.append(DataName.LCOM)
db.append(DataName.FANIN)
db.append(DataName.FANOUT)
db.append(DataName.TotalNumberOfOperators)
db.append(DataName.NumberOfDistinctOperators)
db.append(DataName.TotalNumberOfOperands)
db.append(DataName.NumberOfDistinctOperands)
db.append(DataName.Length)
db.append(DataName.Vocabulary)
db.append(DataName.Volume)
db.append(DataName.Difficulty)
db.append(DataName.Effort)
db.append(DataName.NCSSForThisFile)
db.append(DataName.NestedIfElseDepth)
db.append(DataName.BooleanExpressionComplexity)
db.append(DataName.CyclomaticComplexity)
db.append(DataName.NCSSForThisMethod)
db.append(DataName.NPathComplexity)
db.append(DataName.ThrowsCount)
db.append(DataName.NCSSForThisClass)
db.append(DataName.ExecutableStatementCount)
db.append(DataName.MethodLength)
db.append(DataName.FileLength)
db.append(DataName.NumberOfMethods_Checkstyle)
db.append(DataName.NumberOfPublicMethods_Checkstyle)
db.append(DataName.ClassFanOutComplexity)
db.append(DataName.ClassDataAbstractionCoupling)
db.append(DataName.Bugged)
return db
def get_fowler_builder(project, version):
db = DataBuilder(project, version)
db.append(DataName.GodClass)
db.append(DataName.ClassDataShouldBePrivate)
db.append(DataName.ComplexClass)
db.append(DataName.LazyClass)
db.append(DataName.RefusedBequest)
db.append(DataName.SpaghettiCode)
db.append(DataName.SpeculativeGenerality)
db.append(DataName.DataClass)
db.append(DataName.BrainClass)
db.append(DataName.LargeClass)
db.append(DataName.SwissArmyKnife)
db.append(DataName.AntiSingleton)
db.append(DataName.FeatureEnvy)
db.append(DataName.LongMethod_Organic)
db.append(DataName.LongParameterList_Organic)
db.append(DataName.MessageChain)
db.append(DataName.DispersedCoupling)
db.append(DataName.IntensiveCoupling)
db.append(DataName.ShotgunSurgery)
db.append(DataName.BrainMethod)
db.append(DataName.Bugged)
return db
def get_designite_fowler_builder(project, version):
db = DataBuilder(project, version)
db.append(DataName.GodClass)
db.append(DataName.ClassDataShouldBePrivate)
db.append(DataName.ComplexClass)
db.append(DataName.LazyClass)
db.append(DataName.RefusedBequest)
db.append(DataName.SpaghettiCode)
db.append(DataName.SpeculativeGenerality)
db.append(DataName.DataClass)
db.append(DataName.BrainClass)
db.append(DataName.LargeClass)
db.append(DataName.SwissArmyKnife)
db.append(DataName.AntiSingleton)
db.append(DataName.FeatureEnvy)
db.append(DataName.LongMethod_Organic)
db.append(DataName.LongParameterList_Organic)
db.append(DataName.MessageChain)
db.append(DataName.DispersedCoupling)
db.append(DataName.IntensiveCoupling)
db.append(DataName.ShotgunSurgery)
db.append(DataName.BrainMethod)
db.append(DataName.ImperativeAbstraction)
db.append(DataName.MultifacetedAbstraction)
db.append(DataName.UnnecessaryAbstraction)
db.append(DataName.UnutilizedAbstraction)
db.append(DataName.DeficientEncapsulation)
db.append(DataName.UnexploitedEncapsulation)
db.append(DataName.BrokenModularization)
db.append(DataName.Cyclic_DependentModularization)
db.append(DataName.InsufficientModularization)
db.append(DataName.Hub_likeModularization)
db.append(DataName.BrokenHierarchy)
db.append(DataName.CyclicHierarchy)
db.append(DataName.DeepHierarchy)
db.append(DataName.MissingHierarchy)
db.append(DataName.MultipathHierarchy)
db.append(DataName.RebelliousHierarchy)
db.append(DataName.WideHierarchy)
db.append(DataName.Bugged)
return db