Trustworthy and synergistic artificial intelligence for software engineering: Vision and roadmaps
For decades, much software engineering research has been dedicated to devising automated solutions aimed at enhancing developer productivity and elevating software quality. The past two decades have witnessed an unparalleled surge in the development of intelligent solutions tailored for software eng...
Saved in:
Main Author: | LO, David |
---|---|
Format: | text |
Language: | English |
Published: |
Institutional Knowledge at Singapore Management University
2023
|
Subjects: | |
Online Access: | https://ink.library.smu.edu.sg/sis_research/8693 https://ink.library.smu.edu.sg/context/sis_research/article/9696/viewcontent/TrustworthyAI_av.pdf |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Singapore Management University |
Language: | English |
Similar Items
-
DRIVERS AND BARRIERS TO ARTIFICIAL INTELLIGENCE (AI) ADOPTION IN PROJECT MANAGEMENT (PM)
by: LIM XIN YING VALEN
Published: (2021) -
BRAIN-INFORMED ARTIFICIAL INTELLIGENCE: RANDOM GRAPHS, DYNAMICAL SYSTEMS AND
BEYOND
by: HUANG HENGGUAN
Published: (2024) -
Governing intelligence: Singapore’s evolving AI governance framework
by: ALLEN, Jason Grant, et al.
Published: (2025) -
Understanding human-centred artificial intelligence in the banking sector
by: OBUCHETTIAR, Krishnaraj Arul, et al.
Published: (2023) -
Full-spectrum out-of-distribution detection
by: Yang, Jingkang, et al.
Published: (2023)