smells = {
"LongParameterList": {"PAR": PAR},
"LongMethod": {"MLOC": MLOC},
"LongScopeChaining": {"DOC": DOC},
"LongBaseClassList": {"NBC": NBC},
"LargeClass": {"CLOC": CLOC},
"LongMessageChain": {"LMC": LMC},
"ComplexLambdaExpression": {"NOC": NOC, "PAR": LPAR, "NOO": NOO},
"LongTernaryConditionalExpression": {"NOC": TNOC, "NOL": TNOL},
"ComplexContainerComprehension": {"NOC": CNOC, "NOFF": NOFF, "NOO": CNOO},
"MultiplyNestedContainer": {"LEC": LEC, "DNC": DNC, "NCT": NCT},
}
metric = open("metric.txt", mode="w")
subjects = util.subDirectory(directory)
total_lines = 0
total_files = 0
for subjectName in subjects:
metric.write("projeect:%s " % subjectName)
sourcedir = directory + "\\" + subjectName
lines = 0
files = 0
for currentFileName in util.walkDirectory(sourcedir):
try:
astContent = customast.parse_file(currentFileName)
except:
print sourcedir, currentFileName
continue
myast = astChecker.MyAst()
myast.fileName = currentFileName
myportion = open('result100\\portion.txt', mode='wb+')
smells = {
'LongParameterList': [PAR],
'LongMethod': [MLOC],
'LongScopeChaining': [DOC],
'LongBaseClassList': [NBC],
'LargeClass': [CLOC],
'LongMessageChain': [LMC],
'LongLambdaFunction': [NOC, LPAR, NOO],
'LongTernaryConditionalExpression': [TNOC, TNOL],
'ComplexContainerComprehension': [CNOC, NOFF, CNOO],
'MultiplyNestedContainer': [LEC, DNC, NCT]
}
subjects = util.subDirectory(subject_dir)
LongParameterList = csv.writer(file('result100\\LongParameterList.csv', 'wb'))
LongParameterList.writerow([
'subject', 'file', 'lineno', 'PAR', 'experience-based', 'statistics-based',
'tuning machine'
])
LongMethod = csv.writer(file('result100\\LongMethod.csv', 'wb'))
LongMethod.writerow([
'subject', 'file', 'lineno', 'MLOC', 'experience-based',
'statistics-based', 'tuning machine'
])
LongScopeChaining = csv.writer(file('result100\\LongScopeChaining.csv', 'wb'))
LongScopeChaining.writerow([
'subject', 'file', 'lineno', 'DOC', 'experience-based', 'statistics-based',
'tuning machine'
myportion = open('result100\\portion.txt', mode='wb+')
smells = {
'LongParameterList': [PAR],
'LongMethod': [MLOC],
'LongScopeChaining': [DOC],
'LongBaseClassList': [NBC],
'LargeClass': [CLOC],
'LongMessageChain': [LMC],
'LongLambdaFunction': [NOC, LPAR, NOO],
'LongTernaryConditionalExpression': [TNOC, TNOL],
'ComplexContainerComprehension': [CNOC, NOFF, CNOO],
'MultiplyNestedContainer': [LEC, DNC, NCT]
}
subjects = util.subDirectory(directory)
LongParameterList = csv.writer(file('result100\\LongParameterList.csv', 'wb'))
LongParameterList.writerow([
'subject', 'file', 'lineno', 'PAR', 'experience-based', 'statistics-based',
'tuning machine'
])
LongMethod = csv.writer(file('result100\\LongMethod.csv', 'wb'))
LongMethod.writerow([
'subject', 'file', 'lineno', 'MLOC', 'experience-based',
'statistics-based', 'tuning machine'
])
LongScopeChaining = csv.writer(file('result100\\LongScopeChaining.csv', 'wb'))
LongScopeChaining.writerow([
'subject', 'file', 'lineno', 'DOC', 'experience-based', 'statistics-based',
'tuning machine'