Metrics results for the project

[Kaivanov21]

I run some metrics to your project by Metrics Reloaded plugin in context of my academic project.

Some of the most important results :

1. Chidamber-Kemerer metrics:

Name of metrics	Good range	Actual values
WMC (number of methods per class)	20-50	20,79
DIT (maximum inheritance path from class to root class)	< 5	3,12
NOC (Number of Children)	high NOC	0,37
CBO (Coupling between Object Classes)	<= 14	7,52
RFC (Response for a Class)	low RFC	21,89
LCOM (Lack of Cohesion of Methods)	low LCOM	2,81

So as we can see all results are in good ranges.

2. Complexity metrics:

Name of metrics	Good range	Actual values
v(G) = Cyclomatic complexity	1-4 is low complexity, 5-7 indicates medium complexity, 8-10 is high complexity and 11+ is very high	2,37
iv(G) = Design complexity	<= 8	1,75
ev(G) = Essential cyclometric complexity	<= 3	1,5
CogC = Cognitive Complexity	<=15	1,83

So as we can see all results are in good ranges.

3. MOOD metrics

Name of metrics	Good range	Actual values
AHF = attribute hiding factor	high AHF	70,95%
AIF = attribute inheritance factor	from 0% to 48%.	88,83%
CF = coupling factor	<= 12%	4,53%
MHF = method hiding factor	from 8% to 25%.	19,50%
MIF = method inheritance factor	from 20% to 80%.	33,10%
PF = polymorphism factor	Not defined	63,18%

So as we can see we have one bad value AIF = 88,83% with good range from 0 % to 48 %

AIF should be in a reasonable range, not too low and not too high either. Too high a value indicates either superfluous inheritance or too wide member scopes.
The acceptable AIF range is 0% to 48%. Another view is that AIF should ideally be zero because all variables should be declared Private.

So maybe we need some improvements there.

4. Martin metrics

Name of metrics	Good range	Actual values
A = Abstractness	near 0 or near 1	0,19
Ca = Afferent coupling	from 0 to 500	107,26
Ce = Efferent coupling	from 0 to 20	107,77
D = distance from the main sequence	low D	0,46
I = Instability	from 0 to 0,3 or from 0,7 to 1	0,5

So as we can see we have one bad value Ce = 107,77 with good range from 0 to 20

The high value of the metric Ce> 20 indicates instability of a package, change in any of the numerous external classes can cause the need for changes to the package. Preferred values for the metric Ce are in the range of 0 to 20, higher values cause problems with care and development of code.

The second bad value is I = 0,5 with good range from 0 to 0,3 or from 0,7 to 1

Preferred values for the metric I should fall within the ranges of 0 to 0.3 or 0.7 to 1. Packages should be very stable or unstable, therefore we should avoid packages of intermediate stability.

As conclusion I would like to say that the main number of metrics in this project is in a good range, but also there are some points that can be improved.