AI-driven Software Development Source Code Quality – Bc. Petr Kantek, B.Sc.
Bc. Petr Kantek, B.Sc.
Master's thesis
AI-driven Software Development Source Code Quality
AI-driven Software Development Source Code Quality
Abstract:
V posledních letech byla umělé inteligence úspěšně aplikována v různých odvětvích. Velké jazykové modely (VJM) se rozšířily také do oblasti softwarového vývoje. Od generování zdrojového kódu a analýze kódu až po překlad dokumentace mohou nástroje založené na VJM zvýšit efektivitu softwarového vývoje a pomoci softwarovým inženýrům v jejich každodenních úkolech. Existuje však otevřená otázka týkající …moreAbstract:
In recent years, applications of artificial intelligence have seen notable success across various fields. Large Language Models (LLMs) have particularly found extensive use in the field of software development. From source code generation and code understanding to documentation translation, tools based on LLMs can enhance the effectiveness of the software development life cycle and assist software …more
Language used: English
Date on which the thesis was submitted / produced: 15. 12. 2023
Identifier:
https://is.muni.cz/th/mdt17/
Thesis defence
- Date of defence: 5. 2. 2024
- Supervisor: PhD Bruno Rossi
- Reader: PhD Hind Bangui
Citation record
Full text of thesis
Contents of on-line thesis archive
Published in Theses:- světu
Other ways of accessing the text
Institution archiving the thesis and making it accessible: Masarykova univerzita, Fakulta informatikyMasaryk University
Faculty of InformaticsMaster programme / field:
Software Engineering / Design and development of software systems
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