Michal Mokroš

Bachelor's thesis

Automate issue tagging and categorization using machine learning techniques

Automate issue tagging and categorization using machine learning techniques
Abstract:
Cieľom tejto práce je automatizovať kategorizáciu softvérových issue pomocou supervised techník strojového učenia. Počas tohto procesu sú vyhodnocované rôzne algoritmy pre textovú klasifikáciu sotvérových issue. Je naimplementovaná aplikácia na automatizáciu kategorizácie issue uložených na GitHube, a na analýzu klasifikátorov vytvorených z týchto issue.
Abstract:
The objective of this thesis is to automate the categorization of software issues using supervised machine learning techniques. During this process, different algorithms are evaluated for the text classification of software issues. The application is implemented to automate the categorization of issues stored on GitHub and to analyze classifiers created from these issues.
 

Keywords

machine learning smart data supervised classification software issue
 
Language used: English
Date on which the thesis was submitted / produced: 13. 12. 2019
Identifier: https://is.muni.cz/th/vizxi/

Thesis defence

  • Date of defence: 11. 2. 2020
  • Supervisor: doc. Mouzhi Ge, Ph.D.
  • Reader: RNDr. Stanislav Chren

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Institution archiving the thesis and making it accessible: Masarykova univerzita, Fakulta informatiky
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Masaryk University

Faculty of Informatics

Bachelor programme / field:
Applied Informatics / Applied Informatics

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