Procedia Computer Science, volume 238, pages 671-682

Predicting the usability of mobile applications using AI tools: the rise of large user interface models, opportunities, and challenges

Abdallah Namoun
, 
Ahmed Alrehaili
, 
Zaib un Nisa
, 
Hani Almoamari
, 
Ali Tufail
Publication type: Journal Article
Publication date: 2024-07-08
Quartile SCImago
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Impact factor: —
ISSN: 18770509, 18770509
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Namoun A. et al. Predicting the usability of mobile applications using AI tools: the rise of large user interface models, opportunities, and challenges // Procedia Computer Science. 2024. Vol. 238. pp. 671-682.
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Namoun A., Alrehaili A., Nisa Z. U., Almoamari H., Tufail A. Predicting the usability of mobile applications using AI tools: the rise of large user interface models, opportunities, and challenges // Procedia Computer Science. 2024. Vol. 238. pp. 671-682.
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TY - JOUR
DO - 10.1016/j.procs.2024.06.076
UR - https://linkinghub.elsevier.com/retrieve/pii/S1877050924013127
TI - Predicting the usability of mobile applications using AI tools: the rise of large user interface models, opportunities, and challenges
T2 - Procedia Computer Science
AU - Namoun, Abdallah
AU - Alrehaili, Ahmed
AU - Nisa, Zaib un
AU - Almoamari, Hani
AU - Tufail, Ali
PY - 2024
DA - 2024/07/08 00:00:00
PB - Elsevier
SP - 671-682
VL - 238
SN - 1877-0509
SN - 1877-0509
ER -
BibTex
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@article{2024_Namoun,
author = {Abdallah Namoun and Ahmed Alrehaili and Zaib un Nisa and Hani Almoamari and Ali Tufail},
title = {Predicting the usability of mobile applications using AI tools: the rise of large user interface models, opportunities, and challenges},
journal = {Procedia Computer Science},
year = {2024},
volume = {238},
publisher = {Elsevier},
month = {jul},
url = {https://linkinghub.elsevier.com/retrieve/pii/S1877050924013127},
pages = {671--682},
doi = {10.1016/j.procs.2024.06.076}
}
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