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Bc. Kristína Lalíková

Bachelor's thesis

Comparison of Source Code Reviewer Recommendation Algorithms

Comparison of Source Code Reviewer Recommendation Algorithms
Abstract:
Code review je nevyhnutný proces zlepšujúci kvalitu kódu v softwarových projektoch. Veľkosť projektov a distribuovaný vývoj však túto úlohu značne sťažujú. Rýchly výber vhodného vývojára na kontrolu kódu môže tento proces zjednodušiť a urýchliť, rovnako ako prispieva k zlepšeniu kvality ako aj kontroly kódu, tak aj samotného projektu. Jedným z navrhovaných riešení je automatizovaný návrh a voľba vhodného …more
Abstract:
Source code reviews are necessary to improve the quality of source code in software projects. However, the size and distributed development can make performing code reviews often a non-trivial task. Finding the appropriate reviewers for parts of the source code can speed up the process of reviews and improve the quality of both the reviews and the code. For this reason, automated recommendation of …more
 

Keywords

Source Code Review Reviewer Recommendation GitHub Pull-based Development Model
 
Language used: English
Date on which the thesis was submitted / produced: 26. 5. 2020
Identifier: https://is.muni.cz/th/ch1mq/

Thesis defence

  • Date of defence: 23. 6. 2020
  • Supervisor: PhD Bruno Rossi
  • Reader: RNDr. Stanislav Chren

Citation record

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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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