20.500.12556/DKUM-92843 Primerjava generativnih modelov umetne inteligence za generiranje programske kode magistrsko delo Comparison of generative artificial intelligence models for code generation Cilj magistrskega dela je bil primerjalno oceniti kakovost programske kode, ki jo generirajo modeli umetne inteligence ChatGPT (4o, o1), Gemini (Flash, Pro) in Microsoft Copilot. Na področju generativne umetne inteligence in kakovosti programske opreme smo z uporabo kvantitativnih metrik in orodij analizirali kodo, generirano za različno zahtevne naloge. Rezultati kažejo, da vsi modeli ustvarjajo sintaktično pravilno kodo, a se razlikujejo predvsem v funkcionalni pravilnosti, kompleksnosti in berljivosti. Plačljivi modeli so bili pravilnejši, a kompleksnejši; brezplačni (Copilot, Gemini Flash) pa enostavnejši in berljivejši. Priporočamo izbiro modela glede na prioritete projekta. The objective of the master's thesis was to comparatively evaluate the quality of program code generated by the artificial intelligence models ChatGPT (4o, o1), Gemini (Flash, Pro), and Microsoft Copilot. In the field of generative artificial intelligence and software quality, we analyzed code generated for tasks of varying complexity using quantitative metrics and tools. The results show that all models produce syntactically correct code, but differ primarily in functional correctness, complexity, and readability. Paid models were more correct but more complex; free models (Copilot, Gemini Flash) were simpler and more readable. We recommend selecting a model based on project priorities. generativna umetna inteligenca generiranje programske kode kakovost programske kode metrike kakovosti kode generative artificial intelligence code generation code quality code quality metrics true true false [J. Ključevšek] Slovenski jezik Angleški jezik Magistrsko delo/naloga 2025-05-18 17:09:41 2025-06-06 15:37:56 2025-06-12 03:21:11 0000-00-00 00:00:00 2025 0 Maribor 0 Maribor 1 spletni vir (1 datoteka PDF (XIII, 82 str.)) 0000-00-00 Zaloznikova Objavljeno NiDoloceno 0000-00-00 0000-00-00 0000-00-00 004.8:004.4'415(043.2) 239013891 MAG_Kljucevsek_Jan_2025.pdf MAG_Kljucevsek_Jan_2025.pdf 1 AF3DDA4902935E23749BEC677BB630EE d878e0c74c9d6102487ac6b2e80705b82f29643d846d1ac9358cf47dd90c252a 6466bcb8-4133-11f0-84a3-00155d000105 https://dk.um.si/Dokument.php?lang=slv&id=191752 MAG_Kljucevsek_Jan_2025.zip MAG_Kljucevsek_Jan_2025.zip 1 40EF3984FBF3C57ED5C285021CAD523A e6a0d68c92c46a4008933685d23f36ef10aa811d4365bdb2a849d15dcaf73d10 516ec8ac-33fc-11f0-9284-00155d000105 https://dk.um.si/Dokument.php?lang=slv&id=191086 Fakulteta za elektrotehniko, računalništvo in informatiko 0 0 0