Software quality analysis

ΑΡΕΤΗ ΤΣΟΛΑΚΙΔΟΥ <[email protected]>
Newsgroups gmane.comp.ai.weka
Message-ID <CADLij3K_9QazxWDLBBXEbePKiLc3Ncksoum25KzLP_6_tu_0jg@mail.gmail.com>
Hello community,

my name is Areti Tsolakidou and I recently did a software quality analysis
on this project with INTELIJ IDEA metrics plugin. Most of the results are
quite good, however some others needs improvement.
Let's start with complexity metrics:
In many methods the complexity metrics are very positive. Although, in some
other methods the cyclomatic complexity, the essential cyclomatic
complexity, the cognitive complexity or the design complexity are very
high. This fact must change in order to make the project more simple and
understandable for other developers to read.
Next, lets talk about javadoc coverage metrics:
In this case, the lines of javadoc comments are enough in many of the total
methods, so no imrovement is needed for that.
Lastly, let's have a look on the MOOD metrics:
The MHF, AHF and CF metrics are within their limits. however, AIF and PF
are over their limits and MIF is under its limits. Having this in mind, the
last three metrics must be inproved in order to accomplice better
functionality.

In the following links you can find the range of MOOD factors :
https://scontent.fskg4-1.fna.fbcdn.net/v/t1.15752-9/291006774_708724253763882_4466640443315009317_n.png?_nc_cat=104&ccb=1-7&_nc_sid=ae9488&_nc_ohc=N-T4rG6Cf54AX_7559E&_nc_ht=scontent.fskg4-1.fna&oh=03_AVJqzbD-I2z4keMBPLpd3JCb8pygchA2KdeblMMCoW9SIw&oe=62E7188D

and the MOOD metrics results for WEKA:
https://scontent.fskg4-1.fna.fbcdn.net/v/t1.15752-9/290314723_307250898202049_3664347772638539401_n.png?_nc_cat=100&ccb=1-7&_nc_sid=ae9488&_nc_ohc=zLV2LpFEtKIAX8SkkS0&_nc_ht=scontent.fskg4-1.fna&oh=03_AVKUR1SaFDX64Aydm2b-0ydQwakyBPg-860OGZKK9JS31Q&oe=62E45633

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