class BadConceptionFinder
	var mclassdef: MClassDef
	var array_badconception = new Array[BadConception]
	var phase: CodeSmellsMetricsPhase
	var model: Model
	var filter: ModelFilter
	var score = 0.0

	# Collect code smell with selected toolcontext option
	fun collect do
		var bad_conception_elements = new Array[BadConception]
		# Check toolcontext option
		if phase.toolcontext.opt_feature_envy.value or phase.toolcontext.opt_all.value then bad_conception_elements.add(new FeatureEnvy(phase, model, filter))
		if phase.toolcontext.opt_long_method.value or phase.toolcontext.opt_all.value then bad_conception_elements.add(new LongMethod(phase, model, filter))
		if phase.toolcontext.opt_long_params.value or phase.toolcontext.opt_all.value then bad_conception_elements.add(new LongParameterList(phase, model, filter))
		if phase.toolcontext.opt_no_abstract_implementation.value or phase.toolcontext.opt_all.value then bad_conception_elements.add(new NoAbstractImplementation(phase, model, filter))
		if phase.toolcontext.opt_large_class.value or phase.toolcontext.opt_all.value then bad_conception_elements.add(new LargeClass(phase, model, filter))
		# Collected all code smell if their state is true
		for bad_conception_element in bad_conception_elements do
			if bad_conception_element.collect(self.mclassdef,phase.toolcontext.modelbuilder) then array_badconception.add(bad_conception_element)
		end
		# Compute global score
		collect_global_score
	end

	fun print_collected_data do
		if array_badconception.length != 0 then
			print "--------------------"
			print phase.toolcontext.format_h1("Full name: {mclassdef.full_name} Location: {mclassdef.location}")
			for bad_conception in array_badconception do
				bad_conception.print_result
			end
		end
	end

	fun collect_global_score do
		if array_badconception.not_empty then
			for bad_conception in array_badconception do
				self.score += bad_conception.score
			end
		end
	end
end