1
Return

Quality attributes, challenges, and solutions for designing GenAI-enabled systems

delete2026-06-06
delete0
PRE
AI
C
Chenxing Zhong
H
Huang Huang
J
Jun Lyv
S
Shanshan Li *
DOI:10.1016/j.infsof.2026.108207delete
deleteOriginal
deleteOriginal request for help
deleteShare
deleteSave
Abstract

Abstract

En 中文
Generative Artificial Intelligence (GenAI), which enables to generate contextually relevant text, images, and other content, has emerged as a focal point of interest in recent years. The rapid advancement of GenAI technologies has driven the development of GenAI-enabled software systems across various domains, aiming to augment or replace human decision-making. Nevertheless, the pervasiveness of GenAI-enabled systems can be threatened by inadequate software quality attributes, which are a fundamental concern within the discipline of Software Engineering (SE).

Journal

Information and Software Technology cover
Information and Software Technology
IF:
4.3
Papers:
3.7K
Citations:
7.7K

Organization

N
nanjing university of science and technology
Scholars:
2.9K
Papers: 983
Citations: 0
S
state grid nanjing power supply company
Scholars:
26
Papers: 10
Citations: 0
N
nanjing university
Scholars:
7.6W
Papers: 5.5W
Citations: 87
Cited Papers

Cited Papers

Citing Papers

Citing Papers