Year: 2024
Type: conference-paper
Abstract: With the evolution of AI, software engineering practices must adapt to the unique demands of AI-based systems, ranging from standalone intelligent agents to complex machine learning applications in fields like healthcare and autonomous vehicles.This paper investigates the roles required for AI-based system development from literature and professionals' perception and how we can integrate these roles with Scrum teams focusing on intelligent agents for multi-agent systems, pattern recognition systems, and evolutionary computation for optimization problems.Initially, a integrative review was conducted, and a survey was applied with 11 AI professionals allocated to different organizations.Our results indicate partial alignment of AI-based system development teams with existing literature regarding roles and responsibilities, highlighting the need for formalized collaborations.
Language: English
Subfield: Information Systems
Field: Computer Science
Domain: Physical Sciences
Open Access status: bronze
OpenAlex ID: W4405673258