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 _______________________________________________ Wekalist mailing list -- [email protected] Send posts to [email protected] To unsubscribe send an email to [email protected] To subscribe, unsubscribe, etc., visit https://list.waikato.ac.nz/postorius/lists/wekalist.list.waikato.ac.nz List etiquette: http://www.cs.waikato.ac.nz/~ml/weka/mailinglist_etiquette.html