Table 1 Object-oriented software project datasets.

From: An empirical analysis on webservice antipattern prediction in different variants of machine learning perspective

OO-metrics

Metrics-explanation

Ca: Afferent coupling

The number of classes using the features defined inside a given class

Avg-CC: Average cyclomatic complexity

Mean complexity of methods defined inside class

AMC: Average method complexity

Mean size of methods defined inside class

CAM: Cohesion among methods of class

Ratio of the sum of parameters of methods and product of unique parameters of methods

CBM: Coupling between methods

Total number of methods linked with inherited methods

CBO: Coupling between object classes

The number of classes linked with a given class

DAM: Data access metric

Ratio of protected or private attributes and the total number of attributes

DIT: Depth of inheritance tree

Max depth of tree

Ce: Efferent coupling

The number of classes that a specific class uses

IC: Inheritance coupling

The number of parent classes with which a given class is associated.

LCOM: Lack of cohesion in methods

The number of methods in a class that are unrelated despite the fact that some of the class’s fields are shared

LCOM3

Methods lack of cohesion. Henderson-Sellers version

LOC: Lines of code

The number of lines in the source code’s text

MAx-CC: Max cyclomatic complexity

Maximum cyclomatic complexity of a class’s methods

MOA: Measure of aggregation

Number of data declarations (class fields) with user-defined class types

MFA: Measure of functional abstraction

The ratio of the number of methods inherited by a class to the total number of methods accessible by the class’s member methods

NOC: Number of children

Number of immediate descendants of the class

NPM: Number of public methods

Number of methods defined as public inside class

RFC: Response for a Class

Number of unique methods executed after receiving message

WMC: Weighted methods per class

Summation of methods complexity defined inside class