def _createForSelector(self):
self.contentProvider.generate(self.selector)
# Cluster source API symbols using jaro distance.
self.sourceClusterer = SourceClusterer(self.contentProvider)
self.sourceClusterer.setMaxDistInCluster(self.sourceDistInCluster)
sourceClusters = self.sourceClusterer.cluster()
# Cluster invocations based on source-argument mappings.
self.invocClusterTool = InvocationClusterer(self.contentProvider)
self.invocClusterTool.setMaxDistInCluster(self.invocDistInCluster)
self.invocClusters = self.invocClusterTool.cluster(sourceClusters)
self._createModelsFromInvocClusters(self.invocClusters)
def _createForSelector(self):
self.contentProvider.generate(self.selector)
# Cluster source API symbols using jaro distance.
self.sourceClusterer = SourceClusterer(self.contentProvider)
self.sourceClusterer.setMaxDistInCluster(self.sourceDistInCluster)
sourceClusters = self.sourceClusterer.cluster()
# Cluster invocations based on source-argument mappings.
self.invocClusterTool = InvocationClusterer(self.contentProvider)
self.invocClusterTool.setMaxDistInCluster(self.invocDistInCluster)
self.invocClusters = self.invocClusterTool.cluster(sourceClusters)
self._createModelsFromInvocClusters(self.invocClusters)
class DataFlowModelCreator:
def __init__(self, contentProvider):
self.contentProvider = contentProvider
self.sourceDistInCluster = DEFAULT_SOURCE_DIST_IN_CLUSTER
self.invocDistInCluster = DEFAULT_INVOC_DIST_IN_CLUSTER
self.minNumMembersInInvocCluster = DEFAULT_MIN_NUM_MEMBERS_IN_INVOC_CLUSTER
self.topnInvocClusters = DEFAULT_TOPN_INVOC_CLUSTERS
def setSourceDistInCluster(self, val):
self.sourceDistInCluster = val
def setInvocDistInCluster(self, val):
self.invocDistInCluster = val
def setMinNumMemersInInvocCluster(self, val):
self.minNumMembersInInvocCluster = val
def setTopnInvocClusters(self, val):
self.topnInvocClusters = val
def createDataFlowModels(self, sinkSymbol, onlyForCallSite = None):
self.selector = self._sinkSymbolToSelector(sinkSymbol)
self._createForSelector()
self._filter(onlyForCallSite)
for model in self.models:
model.calculateSourcesPerArg(self.invocClusterTool)
def getModels(self):
return self.models
def _sinkSymbolToSelector(self, sinkSymbol):
return 'getCallsTo("%s")' % (sinkSymbol)
def _createForSelector(self):
self.contentProvider.generate(self.selector)
# Cluster source API symbols using jaro distance.
self.sourceClusterer = SourceClusterer(self.contentProvider)
self.sourceClusterer.setMaxDistInCluster(self.sourceDistInCluster)
sourceClusters = self.sourceClusterer.cluster()
# Cluster invocations based on source-argument mappings.
self.invocClusterTool = InvocationClusterer(self.contentProvider)
self.invocClusterTool.setMaxDistInCluster(self.invocDistInCluster)
self.invocClusters = self.invocClusterTool.cluster(sourceClusters)
self._createModelsFromInvocClusters(self.invocClusters)
def _createModelsFromInvocClusters(self, invocClusters):
X = invocClusters.dataMatrix
self.models = []
for (clusterId, invocIds) in invocClusters.clusterIdToDatapoint.iteritems():
newModel = DataFlowModel()
newModel.clusterId = clusterId
newModel.members = invocIds
# We need to add 1 here for the 'other' group
newModel.setNumberOfArguments(invocClusters.getNumberOfArguments() + 1)
newModel.callSiteIds = [invocClusters.callSiteIds[x] for x in invocIds]
newModel.sharedSourceClusters = np.nonzero(np.sum(X[:, tuple(newModel.members)], axis=1) > 0.5* len(invocIds))[0]
newModel.selector = self.selector
self.models.append(newModel)
# Sort models by number of members
self.models.sort(key=lambda x: len(x.members), reverse=True)
def _filter(self, onlyForCallSite):
self.modelSelector = ModelSelector()
self.modelSelector.setCallSite(onlyForCallSite)
self.modelSelector.setMinNumMembers(self.minNumMembersInInvocCluster)
self.modelSelector.setTopN(self.topnInvocClusters)
self.models = self.modelSelector.select(self.models)
class DataFlowModelCreator:
def __init__(self, contentProvider):
self.contentProvider = contentProvider
self.sourceDistInCluster = DEFAULT_SOURCE_DIST_IN_CLUSTER
self.invocDistInCluster = DEFAULT_INVOC_DIST_IN_CLUSTER
self.minNumMembersInInvocCluster = DEFAULT_MIN_NUM_MEMBERS_IN_INVOC_CLUSTER
self.topnInvocClusters = DEFAULT_TOPN_INVOC_CLUSTERS
def setSourceDistInCluster(self, val):
self.sourceDistInCluster = val
def setInvocDistInCluster(self, val):
self.invocDistInCluster = val
def setMinNumMemersInInvocCluster(self, val):
self.minNumMembersInInvocCluster = val
def setTopnInvocClusters(self, val):
self.topnInvocClusters = val
def createDataFlowModels(self, sinkSymbol, onlyForCallSite=None):
self.selector = self._sinkSymbolToSelector(sinkSymbol)
self._createForSelector()
self._filter(onlyForCallSite)
for model in self.models:
model.calculateSourcesPerArg(self.invocClusterTool)
def getModels(self):
return self.models
def _sinkSymbolToSelector(self, sinkSymbol):
return 'getCallsTo("%s")' % (sinkSymbol)
def _createForSelector(self):
self.contentProvider.generate(self.selector)
# Cluster source API symbols using jaro distance.
self.sourceClusterer = SourceClusterer(self.contentProvider)
self.sourceClusterer.setMaxDistInCluster(self.sourceDistInCluster)
sourceClusters = self.sourceClusterer.cluster()
# Cluster invocations based on source-argument mappings.
self.invocClusterTool = InvocationClusterer(self.contentProvider)
self.invocClusterTool.setMaxDistInCluster(self.invocDistInCluster)
self.invocClusters = self.invocClusterTool.cluster(sourceClusters)
self._createModelsFromInvocClusters(self.invocClusters)
def _createModelsFromInvocClusters(self, invocClusters):
X = invocClusters.dataMatrix
self.models = []
for (clusterId,
invocIds) in invocClusters.clusterIdToDatapoint.iteritems():
newModel = DataFlowModel()
newModel.clusterId = clusterId
newModel.members = invocIds
# We need to add 1 here for the 'other' group
newModel.setNumberOfArguments(
invocClusters.getNumberOfArguments() + 1)
newModel.callSiteIds = [
invocClusters.callSiteIds[x] for x in invocIds
]
newModel.sharedSourceClusters = np.nonzero(
np.sum(X[:, tuple(newModel.members)], axis=1) > 0.5 *
len(invocIds))[0]
newModel.selector = self.selector
self.models.append(newModel)
# Sort models by number of members
self.models.sort(key=lambda x: len(x.members), reverse=True)
def _filter(self, onlyForCallSite):
self.modelSelector = ModelSelector()
self.modelSelector.setCallSite(onlyForCallSite)
self.modelSelector.setMinNumMembers(self.minNumMembersInInvocCluster)
self.modelSelector.setTopN(self.topnInvocClusters)
self.models = self.modelSelector.select(self.models)
