The present dissertation aims at reviewing methodologies and processes underlying the development of Artificial Intelligence-based software systems, and particularly of machine learning systems, mainly focusing on the use of unconventional methods such as those of Agile Software Development, which have inspired a wider-ranging approach to the development and management of software systems better known as DevOps.
Il presente elaborato mira a fornire una panoramica delle metodologie e dei processi che stanno dietro allo sviluppo di sistemi software basati sull’Intelligenza Artificiale, ed in particolare di sistemi di apprendimento automatico, focalizzandosi principalmente sull’uso di metodologie non convenzionali quali quelle agili, che hanno ispirato un approccio di più ampio respiro allo sviluppo e alla gestione dei sistemi software meglio noto come DevOps.
Metodologie agili, DevOps e apprendimento automatico
RIZZO, FRANCESCO ELIA
2024/2025
Abstract
The present dissertation aims at reviewing methodologies and processes underlying the development of Artificial Intelligence-based software systems, and particularly of machine learning systems, mainly focusing on the use of unconventional methods such as those of Agile Software Development, which have inspired a wider-ranging approach to the development and management of software systems better known as DevOps.| File | Dimensione | Formato | |
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Rizzo_FrancescoElia.pdf
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https://hdl.handle.net/20.500.12608/91549