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Title:Analiza kakovosti prototipnih programskih rešitev, razvitih s pomočjo umetne inteligence : magistrsko delo
Authors:ID Vezjak, Peter (Author)
ID Šumak, Boštjan (Mentor) More about this mentor... New window
ID Brdnik, Saša (Comentor)
Files:.pdf MAG_Vezjak_Peter_2026.pdf (1,94 MB)
MD5: A6CDCBDC9C2009BC90D6CFC2D0CD4C0F
 
Language:Slovenian
Work type:Master's thesis/paper
Typology:2.09 - Master's Thesis
Organization:FERI - Faculty of Electrical Engineering and Computer Science
Abstract:Uporaba orodij umetne inteligence je vse pogostejša predvsem na področju informatike in računalništva. Umetna inteligenca (UI) pohitri razvoj programske opreme in zmanjša stroške razvoja. Orodja, kot so inteligentni klepetalniki, omogočajo generiranje kode in pohitrijo razvoj prototipnih programskih rešitev. V magistrskem delu nas je zanimala kakovost prototipnih programskih rešitev, razvitih s pomočjo umetne inteligence. V okviru magistrske naloge smo izvedli dva eksperimenta, dve elektronski spletni anketi in sistematični pregled literature, s pomočjo česar smo skušali ugotoviti kakovost prototipnih programskih rešitev tako z vidika kakovosti ustvarjene programske kode kot tudi z vidika uporabniške izkušnje, ki jo zagotavljajo razviti prototipi. Inteligentni klepetalniki ustvarijo delujoče prototipe, vendar kakovost le-teh ni enotna v vseh vidikih kakovosti. Rezultati prvega eksperimenta in elektronske ankete kažejo, da inteligentni klepetalniki ustvarijo delujočo in sintaktično kakovostno programsko kodo. V drugem eksperimentu smo prototipe vrednotili z vidika uporabnosti in uporabniške izkušnje. Z vidika uporabnosti in uporabniške izkušnje so prototipi uporabni in enostavni za uporabo, vendar sta njihova uporabniška izkušnja in splošna uporabnost slabši. S sistematičnim pregledom literature ugotavljamo, da umetna inteligenca pospeši razvoj in prototipiranje, vendar kakovost ustvarjenih rešitev ni samoumevna. Inteligentni klepetalniki so koristno podporno orodje, a ustvarjene rešitve zahtevajo človekovo testiranje, preverjanje in nadzor.
Keywords:umetna inteligenca, inteligentni klepetalniki, prototipi programskih rešitev, kakovost, uporabnost
Place of publishing:Maribor
Place of performance:Maribor
Publisher:[P. Vezjak]
Year of publishing:2026
Number of pages:1 spletni vir (1 datoteka PDF (IX, 96 str.))
PID:20.500.12556/DKUM-98183 New window
UDC:004.414.32:004.8(043.2)
COBISS.SI-ID:283406083 New window
Publication date in DKUM:29.06.2026
Views:169
Downloads:17
Metadata:XML DC-XML DC-RDF
Categories:KTFMB - FERI
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Licences

License:CC BY-NC-ND 4.0, Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International
Link:http://creativecommons.org/licenses/by-nc-nd/4.0/
Description:The most restrictive Creative Commons license. This only allows people to download and share the work for no commercial gain and for no other purposes.
Licensing start date:23.05.2026

Secondary language

Language:English
Title:Analysis of the quality of prototype software solutions developed with the help of artificial intelligence
Abstract:The use of artificial intelligence tools is becoming increasingly common, especially in the fields of informatics and computer science. Artificial intelligence (AI) accelerates software development and reduces development costs. Tools such as intelligent chatbots enable code generation and speed up the development of prototype software solutions. In this master’s thesis, we examined the quality of prototype software solutions developed with the help of artificial intelligence. As part of the thesis, we conducted two experiments, two online surveys, and a systematic literature review, through which we sought to determine the quality of prototype software solutions both from the perspective of the quality of the generated source code and from the perspective of the user experience provided by the developed prototypes. Intelligent chatbots generate functional prototypes, but their quality is not consistent across all quality aspects. The results of the first experiment and online survey show that intelligent chatbots generate functional and syntactically high-quality source code. In the second experiment, we evaluated the prototypes from the perspective of usability and user experience. From the perspective of usability and user experience, the prototypes are useful and easy to use; however, their user experience and overall usability are poorer. Through the systematic literature review, we found that artificial intelligence accelerates development and prototyping, but the quality of the generated solutions cannot be taken for granted. Intelligent chatbots are a useful supporting tool, but the solutions they generate require human testing, verification, and oversight.
Keywords:artificial intelligence, intelligent chatbots, software prototypes, quality, usability


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