magistrsko delo
Vasilka Saklamaeva (Author), Luka Pavlič (Mentor)

Abstract

Pristopi skaliranega agilnega razvoja se vedno pogosteje uporabljajo v sodobnem programskem inženirstvu, kar organizacijam ob izboljšani ekipni dinamiki omogoča doseganje višje produktivnosti in kakovosti izdelkov. Vključitev umetne inteligence (angl. Artificial Intelligence, AI) v metode skaliranega agilnega razvoja se je pojavila kot odgovor na nenehno povpraševanje po poenostavljenih postopkih in vse večjo kompleksnost razvojnih projektov in vzdrževanja programske opreme. V zaključnem delu se bomo posebej osredotočili na pomočnike, ki temeljijo na AI. Izvedli bomo sistematičen pregled literature, s katerim nameravamo preučiti trenutno stanje raziskav, ki se križajo s skaliranim agilnim razvojem. Pregled vključuje metodologijo za iskanje, izbiro in vrednotenje najrazličnejših publikacij iz izbranih digitalnih knjižnic in baz. Glavni cilj je povzeti in organizirati predhodne raziskave o pomočnikih, ki temeljijo na AI, v metodah skaliranega agilnega razvoja s poudarkom na njihovih zmogljivostih, učinkih na rezultate projekta in potencialnih težavah, ki jih lahko povzročijo. Na takšen način nudimo vpogled v najsodobnejše pomočnike, ki temeljijo na AI, v kontekstu skaliranega agilnega razvoja.

Keywords

umetna inteligenca;pomočniki;agilni razvoj;skalirani agilni razvoj;magistrske naloge;

Data

Language: Slovenian
Year of publishing:
Typology: 2.09 - Master's Thesis
Organization: UM FERI - Faculty of Electrical Engineering and Computer Science
Publisher: [V. Saklamaeva]
UDC: 004.411-026.131:004.89(043.2)
COBISS: 168577283 Link will open in a new window
Views: 88
Downloads: 37
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Other data

Secondary language: English
Secondary title: Artificial intelligence-based assistants for scaled agile development methods
Secondary abstract: Scaled Agile Development approaches are now widely used in modern software engineering, allowing businesses to improve teamwork, productivity, and product quality. The Artificial Intelligence (AI) incorporation into scaled agile development methodologies has emerged as a potential strategy in response to the ongoing demand for simplified procedures and the increasing complexity of software projects. In this thesis, while specifically concentrating on AI-based assistants, we are conducting a systematic literature review that intends to examine the present research environment that intersects with scaled agile development. The review implements a methodology to find, choose, and evaluate a wide variety of publications from the chosen databases. The main goal is to summarize and organize the prior research on AI-based assistants in scaled agile development, emphasizing their capabilities, effects on project results, and difficulties they may provide. By conducting the systematic literature review, we provide insight of the state-of-the-art AI-based assistants in the context of scaled agile development.
Secondary keywords: artificial intelligence;assistants;agile development;scaled agile development;LeSS;SAFe;
Type (COBISS): Master's thesis/paper
Thesis comment: Univ. v Mariboru, Fak. za elektrotehniko, računalništvo in informatiko, Informatika in tehnologije komuniciranja
Pages: 1 spletni vir (1 datoteka PDF (IX, 60 f.))
ID: 19812243