A Metric is used to collect data about things

The concept is reified here for a better organization and documentation

Introduced properties

type ELM: Object

nitc :: Metric :: ELM

Type of elements measured by this metric.
type RES: Map[ELM, VAL]

nitc :: Metric :: RES

Type of data representation used to associate elements and values.
type VAL: Object

nitc :: Metric :: VAL

Type of values used to measure elements.
fun [](element: ELM): VAL

nitc :: Metric :: []

The value calculated for the element
abstract fun above_threshold: Set[ELM]

nitc :: Metric :: above_threshold

The set of element above the threshold
abstract fun avg: Float

nitc :: Metric :: avg

The values average
abstract fun clear

nitc :: Metric :: clear

Clear all results for this metric
abstract fun collect(elements: Collection[ELM])

nitc :: Metric :: collect

Collect metric values on elements
abstract fun desc: String

nitc :: Metric :: desc

A long and understandable description about what is measured by this metric.
fun has_element(element: ELM): Bool

nitc :: Metric :: has_element

Does the element have a value for this metric?
abstract fun max: ELM

nitc :: Metric :: max

The element with the highest value
abstract fun min: ELM

nitc :: Metric :: min

The element with the lowest value
abstract fun name: String

nitc :: Metric :: name

The name of this metric (generally an acronym about the metric).
fun sort: Array[ELM]

nitc :: Metric :: sort

Sort the metric keys by values
abstract fun std_dev: Float

nitc :: Metric :: std_dev

The values standard derivation
abstract fun sum: VAL

nitc :: Metric :: sum

The sum of all the values.
fun threshold: Float

nitc :: Metric :: threshold

The value threshold above what elements are considered as 'interesting'
fun to_console(indent: Int, colors: Bool)

nitc :: Metric :: to_console

Pretty print the metric results in console
abstract fun values: RES

nitc :: Metric :: values

Values for each element

Redefined properties

redef type SELF: Metric

nitc $ Metric :: SELF

Type of this instance, automatically specialized in every class
redef fun core_serialize_to(v: Serializer)

nitc :: api_metrics $ Metric :: core_serialize_to

Actual serialization of self to serializer

All properties

fun !=(other: nullable Object): Bool

core :: Object :: !=

Have self and other different values?
fun ==(other: nullable Object): Bool

core :: Object :: ==

Have self and other the same value?
type CLASS: Class[SELF]

core :: Object :: CLASS

The type of the class of self.
type ELM: Object

nitc :: Metric :: ELM

Type of elements measured by this metric.
type RES: Map[ELM, VAL]

nitc :: Metric :: RES

Type of data representation used to associate elements and values.
type SELF: Object

core :: Object :: SELF

Type of this instance, automatically specialized in every class
type VAL: Object

nitc :: Metric :: VAL

Type of values used to measure elements.
fun [](element: ELM): VAL

nitc :: Metric :: []

The value calculated for the element
abstract fun above_threshold: Set[ELM]

nitc :: Metric :: above_threshold

The set of element above the threshold
protected fun accept_json_serializer(v: JsonSerializer)

serialization :: Serializable :: accept_json_serializer

Refinable service to customize the serialization of this class to JSON
protected fun accept_msgpack_attribute_counter(v: AttributeCounter)

serialization :: Serializable :: accept_msgpack_attribute_counter

Hook to customize the behavior of the AttributeCounter
protected fun accept_msgpack_serializer(v: MsgPackSerializer)

serialization :: Serializable :: accept_msgpack_serializer

Hook to customize the serialization of this class to MessagePack
protected fun add_to_bundle(bundle: NativeBundle, key: JavaString)

serialization :: Serializable :: add_to_bundle

Called by []= to dynamically choose the appropriate method according
abstract fun avg: Float

nitc :: Metric :: avg

The values average
protected fun class_factory(name: String): CLASS

core :: Object :: class_factory

Implementation used by get_class to create the specific class.
fun class_name: String

core :: Object :: class_name

The class name of the object.
abstract fun clear

nitc :: Metric :: clear

Clear all results for this metric
abstract fun collect(elements: Collection[ELM])

nitc :: Metric :: collect

Collect metric values on elements
fun core_serialize_to(serializer: Serializer)

serialization :: Serializable :: core_serialize_to

Actual serialization of self to serializer
abstract fun desc: String

nitc :: Metric :: desc

A long and understandable description about what is measured by this metric.
init from_deserializer(deserializer: Deserializer)

serialization :: Serializable :: from_deserializer

Create an instance of this class from the deserializer
fun get_class: CLASS

core :: Object :: get_class

The meta-object representing the dynamic type of self.
fun has_element(element: ELM): Bool

nitc :: Metric :: has_element

Does the element have a value for this metric?
fun hash: Int

core :: Object :: hash

The hash code of the object.
init init

core :: Object :: init

fun inspect: String

core :: Object :: inspect

Developer readable representation of self.
protected fun inspect_head: String

core :: Object :: inspect_head

Return "CLASSNAME:#OBJECTID".
intern fun is_same_instance(other: nullable Object): Bool

core :: Object :: is_same_instance

Return true if self and other are the same instance (i.e. same identity).
fun is_same_serialized(other: nullable Object): Bool

core :: Object :: is_same_serialized

Is self the same as other in a serialization context?
intern fun is_same_type(other: Object): Bool

core :: Object :: is_same_type

Return true if self and other have the same dynamic type.
abstract fun max: ELM

nitc :: Metric :: max

The element with the highest value
abstract fun min: ELM

nitc :: Metric :: min

The element with the lowest value
protected fun msgpack_extra_array_items: Int

serialization :: Serializable :: msgpack_extra_array_items

Hook to request a larger than usual metadata array
abstract fun name: String

nitc :: Metric :: name

The name of this metric (generally an acronym about the metric).
private intern fun native_class_name: CString

core :: Object :: native_class_name

The class name of the object in CString format.
intern fun object_id: Int

core :: Object :: object_id

An internal hash code for the object based on its identity.
fun output

core :: Object :: output

Display self on stdout (debug only).
intern fun output_class_name

core :: Object :: output_class_name

Display class name on stdout (debug only).
fun serialization_hash: Int

core :: Object :: serialization_hash

Hash value use for serialization
fun serialize_msgpack(plain: nullable Bool): Bytes

serialization :: Serializable :: serialize_msgpack

Serialize self to MessagePack bytes
fun serialize_to(serializer: Serializer)

serialization :: Serializable :: serialize_to

Serialize self to serializer
fun serialize_to_json(plain: nullable Bool, pretty: nullable Bool): String

serialization :: Serializable :: serialize_to_json

Serialize self to JSON
private fun serialize_to_or_delay(v: Serializer)

serialization :: Serializable :: serialize_to_or_delay

Accept references or force direct serialization (using serialize_to)
fun sort: Array[ELM]

nitc :: Metric :: sort

Sort the metric keys by values
abstract fun std_dev: Float

nitc :: Metric :: std_dev

The values standard derivation
abstract fun sum: VAL

nitc :: Metric :: sum

The sum of all the values.
intern fun sys: Sys

core :: Object :: sys

Return the global sys object, the only instance of the Sys class.
fun threshold: Float

nitc :: Metric :: threshold

The value threshold above what elements are considered as 'interesting'
fun to_console(indent: Int, colors: Bool)

nitc :: Metric :: to_console

Pretty print the metric results in console
fun to_json: String

serialization :: Serializable :: to_json

Serialize self to plain JSON
abstract fun to_jvalue(env: JniEnv): JValue

core :: Object :: to_jvalue

fun to_pretty_json: String

serialization :: Serializable :: to_pretty_json

Serialize self to plain pretty JSON
fun to_s: String

core :: Object :: to_s

User readable representation of self.
abstract fun values: RES

nitc :: Metric :: values

Values for each element
package_diagram nitc::Metric Metric serialization::Serializable Serializable nitc::Metric->serialization::Serializable core::Object Object serialization::Serializable->core::Object ...core::Object ... ...core::Object->core::Object nitc::IntMetric IntMetric nitc::IntMetric->nitc::Metric nitc::FloatMetric FloatMetric nitc::FloatMetric->nitc::Metric nitc::MModuleMetric MModuleMetric nitc::MModuleMetric->nitc::Metric nitc::MClassMetric MClassMetric nitc::MClassMetric->nitc::Metric nitc::MTypeMetric MTypeMetric nitc::MTypeMetric->nitc::Metric nitc::IntMetric... ... nitc::IntMetric...->nitc::IntMetric nitc::FloatMetric... ... nitc::FloatMetric...->nitc::FloatMetric nitc::MModuleMetric... ... nitc::MModuleMetric...->nitc::MModuleMetric nitc::MClassMetric... ... nitc::MClassMetric...->nitc::MClassMetric nitc::TNLI TNLI nitc::TNLI->nitc::MTypeMetric nitc::TNLC TNLC nitc::TNLC->nitc::MTypeMetric nitc::TAGS TAGS nitc::TAGS->nitc::MTypeMetric nitc::TDGS TDGS nitc::TDGS->nitc::MTypeMetric nitc::TNLI... ... nitc::TNLI...->nitc::TNLI nitc::TNLC... ... nitc::TNLC...->nitc::TNLC nitc::TAGS... ... nitc::TAGS...->nitc::TAGS nitc::TDGS... ... nitc::TDGS...->nitc::TDGS

Ancestors

interface Object

core :: Object

The root of the class hierarchy.

Parents

interface Serializable

serialization :: Serializable

Instances of this class can be passed to Serializer::serialize

Children

class FloatMetric

nitc :: FloatMetric

A Metric that collects float datas
class IntMetric

nitc :: IntMetric

A Metric that collects integer data
abstract class MClassMetric

nitc :: MClassMetric

A metric about MClass
abstract class MModuleMetric

nitc :: MModuleMetric

A metric about MModule
interface MTypeMetric

nitc :: MTypeMetric

A metric about MType

Descendants

class CBMS

nitc :: CBMS

Class Branch Mean Size
class CDIT

nitc :: CDIT

Class Metric: Depth in Inheritance Tree
class CDITC

nitc :: CDITC

MClass metric: Class Depth in Inheritance Tree
class CDITI

nitc :: CDITI

MClass metric: Interface Depth in Inheritance Tree
class CNBA

nitc :: CNBA

Class Metric: Number of MAttributes
class CNBHP

nitc :: CNBHP

Class Metric: Number of Inherited MProperties
class CNBI

nitc :: CNBI

Class Metric: Number of Constructors
class CNBIP

nitc :: CNBIP

Class Metric: Number of Introduced MProperties
class CNBLP

nitc :: CNBLP

Class Metric: Number of Local MProperties (Intro + Redef)
class CNBM

nitc :: CNBM

Class Metric: Number of MMethods
class CNBNA

nitc :: CNBNA

Class Metric: Number of nullables MAttributes
class CNBP

nitc :: CNBP

Class Metric: Number of MProperties
class CNBRP

nitc :: CNBRP

Class Metric: Number of Refined MProperties
class CNBV

nitc :: CNBV

Class Metric: Number of Virtual Types
class CNLC

nitc :: CNLC

Class Metric: Number of Live Cast
class CNLI

nitc :: CNLI

Class Metric: Number of Live Instances
class CNOA

nitc :: CNOA

Class Metric: Number of Ancestors
class CNOAA

nitc :: CNOAA

MClass metric: Number of Abstract Class Ancestors
class CNOAC

nitc :: CNOAC

MClass metric: Number of Class Ancestors
class CNOAI

nitc :: CNOAI

MClass metric: Number of Interface Ancestors
class CNOC

nitc :: CNOC

Class Metric: Number of Children
class CNOCC

nitc :: CNOCC

MClass metric: Number of Class Children
class CNOCI

nitc :: CNOCI

MClass metric: Number of Interface Children
class CNOD

nitc :: CNOD

Class Metric: Number of Descendants
class CNODC

nitc :: CNODC

MClass metric: Number of Class Descendants
class CNODI

nitc :: CNODI

MClass metric: Number of Interface Descendants
class CNOP

nitc :: CNOP

Class Metric: Number of Parents
class CNOPC

nitc :: CNOPC

MClass metric: Number of Class Parents
class CNOPI

nitc :: CNOPI

MClass metric: Number of Interface Parents
class CNVI

nitc :: CNVI

Class Novelty Index
class CNVS

nitc :: CNVS

Class Novelty Score
class MBMS

nitc :: MBMS

Module Branch Mean Size
class MDIT

nitc :: MDIT

Module Metric: Depth in Tree
class MDUI

nitc :: MDUI

Module metric: proportion of MClasses Defined Using Inheritance
class MDUIC

nitc :: MDUIC

Module metric: proportion of abstract, concrete and extern Classes Defined Using Inheritance
class MDUII

nitc :: MDUII

Module metric: proportion of Interface Defined Using Inheritance
class MIF

nitc :: MIF

Module metric: proportion of MClass Inherited From
class MIFC

nitc :: MIFC

Module metric: proportion of abstract, concrete and extern Class Inherited From
class MIFI

nitc :: MIFI

Module metric: proportion of Interface Inherited From
class MNBAC

nitc :: MNBAC

Module Metric: Number of Abstract Class in module (intro + redef)
class MNBCC

nitc :: MNBCC

Module Metric: Number of Concrete Class in module (intro + redef)
class MNBD

nitc :: MNBD

Module Metric: Number of Accessible Definitions (of all kind)
class MNBEC

nitc :: MNBEC

Module Metric: Number of Enum in module (intro + redef)
class MNBI

nitc :: MNBI

Module Metric: Number of Introduction (of all kind)
class MNBIC

nitc :: MNBIC

Module Metric: Number of Interface in module (intro + redef)
class MNBR

nitc :: MNBR

Module Metric: Number of Refinement
class MNCT

nitc :: MNCT

MModule Metric: Number of Live Cast Types
class MNLC

nitc :: MNLC

MModule Metric: Number of Live Classes
class MNLDD

nitc :: MNLDD

MModule Metric: Number of Dead MethodDefs
class MNLI

nitc :: MNLI

MModule Metric: Number of Live Types
class MNLM

nitc :: MNLM

MModule Metric: Number of Live Methods
class MNLMD

nitc :: MNLMD

MModule Metric: Number of Live MethodDefs
class MNLT

nitc :: MNLT

MModule Metric: Number of Live Types
class MNOA

nitc :: MNOA

Module Metric: Number of Ancestors
class MNOC

nitc :: MNOC

Module Metric: Number of Children
class MNOD

nitc :: MNOD

Module Metric: Number of Descendants
class MNOP

nitc :: MNOP

Module Metric: Number of Parents
class MNVI

nitc :: MNVI

Module Novelty Index
class MNVS

nitc :: MNVS

Module Novelty Score
class RTAMetric

nitc :: RTAMetric

RTA related metric that needs a modelbuilder
class TAGS

nitc :: TAGS

Type Metric: Arity of Generic Signature
class TDGS

nitc :: TDGS

Type Metric: Depth of Generic Signature
class TNLC

nitc :: TNLC

Type Metric: Number of Live Cast
class TNLI

nitc :: TNLI

Type Metric: Number of Live Instances

Class definitions

nitc $ Metric
# A Metric is used to collect data about things
#
# The concept is reified here for a better organization and documentation
interface Metric

	# Type of elements measured by this metric.
	type ELM: Object

	# Type of values used to measure elements.
	type VAL: Object

	# Type of data representation used to associate elements and values.
	type RES: Map[ELM, VAL]

	# The name of this metric (generally an acronym about the metric).
	fun name: String is abstract

	# A long and understandable description about what is measured by this metric.
	fun desc: String is abstract

	# Clear all results for this metric
	fun clear is abstract

	# Values for each element
	fun values: RES is abstract

	# Collect metric values on elements
	fun collect(elements: Collection[ELM]) is abstract

	# The value calculated for the element
	fun [](element: ELM): VAL do return values[element]

	# Does the element have a value for this metric?
	fun has_element(element: ELM): Bool do return values.has_key(element)

	# The values average
	fun avg: Float is abstract

	# Pretty print the metric results in console
	fun to_console(indent: Int, colors: Bool) do
		if values.is_empty then
			if colors then
				print "{"\t" * indent}{name}: {desc} -- nothing".green
			else
				print "{"\t" * indent}{name}: {desc} -- nothing"
			end
			return
		end

		var max = self.max
		var min = self.min
		if colors then
			print "{"\t" * indent}{name}: {desc}".green
			print "{"\t" * indent}  avg: {avg}".light_gray
			print "{"\t" * indent}  max: {max} ({self[max]})".light_gray
			print "{"\t" * indent}  min: {min} ({self[min]})".light_gray
			print "{"\t" * indent}  std: {std_dev}".light_gray
		else
			print "{"\t" * indent}{name}: {desc}"
			print "{"\t" * indent}  avg: {avg}"
			print "{"\t" * indent}  max: {max} ({self[max]})"
			print "{"\t" * indent}  min: {min} ({self[min]})"
			print "{"\t" * indent}  std: {std_dev}"
		end
	end

	# The sum of all the values.
	fun sum: VAL is abstract

	# The values standard derivation
	fun std_dev: Float is abstract

	# The element with the highest value
	fun max: ELM is abstract

	# The element with the lowest value
	fun min: ELM is abstract

	# The value threshold above what elements are considered as 'interesting'
	fun threshold: Float do return avg + std_dev

	# The set of element above the threshold
	fun above_threshold: Set[ELM] is abstract

	# Sort the metric keys by values
	fun sort: Array[ELM] do
		return values.keys_sorted_by_values(default_reverse_comparator)
	end
end
src/metrics/metrics_base.nit:145,1--233,3