Application of statistical classifiers on Java source code
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21340%2F17%3A00307057" target="_blank" >RIV/68407700:21340/17:00307057 - isvavai.cz</a>
Result on the web
<a href="http://link.springer.com/chapter/10.1007%2F978-3-319-46535-7_16" target="_blank" >http://link.springer.com/chapter/10.1007%2F978-3-319-46535-7_16</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-319-46535-7_16" target="_blank" >10.1007/978-3-319-46535-7_16</a>
Alternative languages
Result language
angličtina
Original language name
Application of statistical classifiers on Java source code
Original language description
The paper deals with detection of structures in source codes employing statistical classification. To enhance source code perception by development tools like code editors, modeling tools and source code repositories, various methods of patterns classification are proposed and tested. To be able to apply classification algorithms, well-defined feature space is required. Thus, such a feature space is presented and tested. Sub-models search is carried out by a genetic algorithm to select the optimal feature space subset without deterioration of a classification system. The results show that with standard classification algorithms like k-NN or Perceptron, accuracy of 0.8 can be achieved.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach<br>I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2017
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceedings of the 2015 Federated Conference on Software Development and Object Technologies
ISBN
978-3-319-46534-0
ISSN
2194-5357
e-ISSN
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Number of pages
11
Pages from-to
208-218
Publisher name
Springer International Publishing
Place of publication
Cham
Event location
Žilina
Event date
Nov 19, 2015
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000407051200016