Feature space for statistical classification of Java source code patterns

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21340%2F14%3A00218677" target="_blank" >RIV/68407700:21340/14:00218677 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1109/CarpathianCC.2014.6843627" target="_blank" >http://dx.doi.org/10.1109/CarpathianCC.2014.6843627</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/CarpathianCC.2014.6843627" target="_blank" >10.1109/CarpathianCC.2014.6843627</a>

Result language
angličtina
Original language name
Feature space for statistical classification of Java source code patterns
Original language description
To develop a reliable statistical classifiers of Java source code patterns, a feature space has to be developed and thoroughly examined as there are little general recommendations, such as in the field of image processing. This paper deals with development and evaluation of such feature space. Current version of feature space consisting of four categories and forty features is presented. Moreover, since feature collection from a source code is a non-trivial task, method of data acquisition with help ofnewly constructed domain specific language is given. Another issue that has to be solved is determination of structure of particular patterns, as their implementation can vary with different software projects. Straightforward patterns may have little explanatory power for project's architecture, however it could be demanding to detect more abstract ones. In addition, the proposed patterns should meet standards recognized by the software engineering community.
Czech name
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Czech description
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Project
<a href="/en/project/LG13031" target="_blank" >LG13031: Collaboration of the Czech Republic with CERN</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach<br>I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year
2014
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
Proceedings of the 2014 15th International Carpathian Control Conference (ICCC)
ISBN
9781479935284
ISSN
—
e-ISSN
—
Number of pages
5
Pages from-to
357-361
Publisher name
VŠB
Place of publication
Ostrava
Event location
Velké Karlovice
Event date
May 28, 2014
Type of event by nationality
EUR - Evropská akce
UT code for WoS article
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