Trust Dynamics in AI-Assisted Development: Definitions, Factors, and Implications

Software developers increasingly rely on AI code generation utilities. To ensure that "good" code is accepted into the code base and "bad" code is rejected, developers must know when to trust an AI suggestion. Understanding how developers build this intuition is crucial to enhanc...

Full description

Bibliographic Details

Published in:	Proceedings / International Conference on Software Engineering pp. 1678 - 1690
Main Authors:	Sabouri, Sadra, Eibl, Philipp, Zhou, Xinyi, Ziyadi, Morteza, Medvidovic, Nenad, Lindemann, Lars, Chattopadhyay, Souti
Format:	Conference Proceeding
Language:	English
Published:	IEEE 26.04.2025
Subjects:	AI-code assistants Artificial intelligence Codes Collaboration Guidelines Programming Real-time systems Software Software development Software development management Software engineering Surveys Trust
ISSN:	1558-1225
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!