Metric Results

[ summary] [ packages] [ cycles] [ explanations]

The following document contains the results of a JDependmetric analysis. The various metrics are defined at the bottom of this document.

Summary

[ summary] [ packages] [ cycles] [ explanations]

Package TC AC CC AC EC A I D
baseCode.algorithm 22023160%60%
baseCode.algorithm.learning.unsupervised 101070100%0%
baseCode.algorithm.learning.unsupervised.cluster 844070.5100%50%
baseCode.bio 312220.3350%17%
baseCode.bio.geneset 6060120100%0%
baseCode.common 22032140%40%
baseCode.dataFilter 1037080.3100%30%
baseCode.dataStructure 50542033%67%
baseCode.dataStructure.graph 743370.5770%27%
baseCode.dataStructure.matrix 1037790.356%14%
baseCode.dataStructure.tree 404030100%0%
baseCode.db 101030100%0%
baseCode.graphics.text 10124067%33%
baseCode.gui 243211210.1295%8%
baseCode.gui.file 303040100%0%
baseCode.gui.table 120120110100%0%
baseCode.io 202020100%0%
baseCode.io.reader 7162110.1485%1%
baseCode.io.writer 101040100%0%
baseCode.math 171163100.0677%17%
baseCode.math.distribution 725180.2989%17%
baseCode.math.metaanalysis 312050.33100%33%
baseCode.misc 101060100%0%
baseCode.util 615490.1769%14%
baseCode.xml 20218089%11%

Packages

[ summary] [ packages] [ cycles] [ explanations]

baseCode.algorithm

Afferent CouplingsEfferent CouplingsAbstractnessInstabilityDistance
23100%60%60%
Abstract ClassesConcrete ClassesUsed by PackagesUses Packages
None

baseCode.algorithm.learning.unsupervised

Afferent CouplingsEfferent CouplingsAbstractnessInstabilityDistance
070%100%0%
Abstract ClassesConcrete ClassesUsed by PackagesUses Packages
None None

baseCode.algorithm.learning.unsupervised.cluster

Afferent CouplingsEfferent CouplingsAbstractnessInstabilityDistance
0750%100%50%
Abstract ClassesConcrete ClassesUsed by PackagesUses Packages
None

baseCode.bio

Afferent CouplingsEfferent CouplingsAbstractnessInstabilityDistance
2233%50%17%
Abstract ClassesConcrete ClassesUsed by PackagesUses Packages

baseCode.bio.geneset

Afferent CouplingsEfferent CouplingsAbstractnessInstabilityDistance
0120%100%0%
Abstract ClassesConcrete ClassesUsed by PackagesUses Packages
None None

baseCode.common

Afferent CouplingsEfferent CouplingsAbstractnessInstabilityDistance
32100%40%40%
Abstract ClassesConcrete ClassesUsed by PackagesUses Packages
None

baseCode.dataStructure

Afferent CouplingsEfferent CouplingsAbstractnessInstabilityDistance
420%33%67%
Abstract ClassesConcrete ClassesUsed by PackagesUses Packages
None

baseCode.dataStructure.graph

Afferent CouplingsEfferent CouplingsAbstractnessInstabilityDistance
3757%70%27%
Abstract ClassesConcrete ClassesUsed by PackagesUses Packages

baseCode.dataStructure.tree

Afferent CouplingsEfferent CouplingsAbstractnessInstabilityDistance
030%100%0%
Abstract ClassesConcrete ClassesUsed by PackagesUses Packages
None None

baseCode.db

Afferent CouplingsEfferent CouplingsAbstractnessInstabilityDistance
030%100%0%
Abstract ClassesConcrete ClassesUsed by PackagesUses Packages
None None

baseCode.graphics.text

Afferent CouplingsEfferent CouplingsAbstractnessInstabilityDistance
240%67%33%
Abstract ClassesConcrete ClassesUsed by PackagesUses Packages
None

baseCode.gui.file

Afferent CouplingsEfferent CouplingsAbstractnessInstabilityDistance
040%100%0%
Abstract ClassesConcrete ClassesUsed by PackagesUses Packages
None None

baseCode.io

Afferent CouplingsEfferent CouplingsAbstractnessInstabilityDistance
020%100%0%
Abstract ClassesConcrete ClassesUsed by PackagesUses Packages
None None

baseCode.io.writer

Afferent CouplingsEfferent CouplingsAbstractnessInstabilityDistance
040%100%0%
Abstract ClassesConcrete ClassesUsed by PackagesUses Packages
None None

baseCode.math.distribution

Afferent CouplingsEfferent CouplingsAbstractnessInstabilityDistance
1829%89%17%
Abstract ClassesConcrete ClassesUsed by PackagesUses Packages

baseCode.math.metaanalysis

Afferent CouplingsEfferent CouplingsAbstractnessInstabilityDistance
0533%100%33%
Abstract ClassesConcrete ClassesUsed by PackagesUses Packages
None

baseCode.misc

Afferent CouplingsEfferent CouplingsAbstractnessInstabilityDistance
060%100%0%
Abstract ClassesConcrete ClassesUsed by PackagesUses Packages
None None

baseCode.xml

Afferent CouplingsEfferent CouplingsAbstractnessInstabilityDistance
180%89%11%
Abstract ClassesConcrete ClassesUsed by PackagesUses Packages
None

Cycles

[ summary] [ packages] [ cycles] [ explanations]

There are no cyclic dependencies.

Explanations

[ summary] [ packages] [ cycles] [ explanations]

The following explanations are for quick reference and are lifted directly from the original JDepend documentation.

TermDescription
Number of ClassesThe number of concrete and abstract classes (and interfaces) in the package is an indicator of the extensibility of the package.
Afferent CouplingsThe number of other packages that depend upon classes within the package is an indicator of the package's responsibility.
Efferent CouplingsThe number of other packages that the classes in the package depend upon is an indicator of the package's independence.
AbstractnessThe ratio of the number of abstract classes (and interfaces) in the analyzed package to the total number of classes in the analyzed package. The range for this metric is 0 to 1, with A=0 indicating a completely concrete package and A=1 indicating a completely abstract package.
InstabilityThe ratio of efferent coupling (Ce) to total coupling (Ce / (Ce + Ca)). This metric is an indicator of the package's resilience to change. The range for this metric is 0 to 1, with I=0 indicating a completely stable package and I=1 indicating a completely instable package.
DistanceThe perpendicular distance of a package from the idealized line A + I = 1. This metric is an indicator of the package's balance between abstractness and stability. A package squarely on the main sequence is optimally balanced with respect to its abstractness and stability. Ideal packages are either completely abstract and stable (x=0, y=1) or completely concrete and instable (x=1, y=0). The range for this metric is 0 to 1, with D=0 indicating a package that is coincident with the main sequence and D=1 indicating a package that is as far from the main sequence as possible.
CyclesPackages participating in a package dependency cycle are in a deadly embrace with respect to reusability and their release cycle. Package dependency cycles can be easily identified by reviewing the textual reports of dependency cycles. Once these dependency cycles have been identified with JDepend, they can be broken by employing various object-oriented techniques.