@article{ART003028673},
author={Eun-Sook Cho},
title={Development of Metrics to Measure Reusability Quality of AIaaS},
journal={Journal of The Korea Society of Computer and Information},
issn={1598-849X},
year={2023},
volume={28},
number={12},
pages={147-153},
doi={10.9708/jksci.2023.28.12.147}
TY - JOUR
AU - Eun-Sook Cho
TI - Development of Metrics to Measure Reusability Quality of AIaaS
JO - Journal of The Korea Society of Computer and Information
PY - 2023
VL - 28
IS - 12
PB - The Korean Society Of Computer And Information
SP - 147
EP - 153
SN - 1598-849X
AB - As it spreads to all industries of artificial intelligence technology, AIaaS equipped with artificial intelligence services is emerging. In particular, non-IT companies are suffering from the absence of software experts, difficulties in training big data models, and difficulties in collecting and analyzing various types of data. AIaaS makes it easier and more economical for users to build a system by providing various IT resources necessary for artificial intelligence software development as well as functions necessary for artificial intelligence software in the form of a service. Therefore, the supply and demand for such cloud-based AIaaS services will increase rapidly. However, the quality of services provided by AIaaS becomes an important factor in what is required as the supply and demand for AIaaS increases. However, research on a comprehensive and practical quality evaluation metric to measure this is currently insufficient.
Therefore, in this paper, we develop and propose a usability, replacement, scalability, and publicity metric, which are the four metrics necessary for measuring reusability, based on implementation, convenience, efficiency, and accessibility, which are characteristics of AIaaS, for reusability evaluation among the service quality measurement factors of AIaaS. The proposed metrics can be used as a tool to predict how much services provided by AIaaS can be reused for potential users in the future.
KW - Artificial Intelligence;SaaS;AIaaS;Quality Measurement;Reusability;Metric
DO - 10.9708/jksci.2023.28.12.147
ER -
Eun-Sook Cho. (2023). Development of Metrics to Measure Reusability Quality of AIaaS. Journal of The Korea Society of Computer and Information, 28(12), 147-153.
Eun-Sook Cho. 2023, "Development of Metrics to Measure Reusability Quality of AIaaS", Journal of The Korea Society of Computer and Information, vol.28, no.12 pp.147-153. Available from: doi:10.9708/jksci.2023.28.12.147
Eun-Sook Cho "Development of Metrics to Measure Reusability Quality of AIaaS" Journal of The Korea Society of Computer and Information 28.12 pp.147-153 (2023) : 147.
Eun-Sook Cho. Development of Metrics to Measure Reusability Quality of AIaaS. 2023; 28(12), 147-153. Available from: doi:10.9708/jksci.2023.28.12.147
Eun-Sook Cho. "Development of Metrics to Measure Reusability Quality of AIaaS" Journal of The Korea Society of Computer and Information 28, no.12 (2023) : 147-153.doi: 10.9708/jksci.2023.28.12.147
Eun-Sook Cho. Development of Metrics to Measure Reusability Quality of AIaaS. Journal of The Korea Society of Computer and Information, 28(12), 147-153. doi: 10.9708/jksci.2023.28.12.147
Eun-Sook Cho. Development of Metrics to Measure Reusability Quality of AIaaS. Journal of The Korea Society of Computer and Information. 2023; 28(12) 147-153. doi: 10.9708/jksci.2023.28.12.147
Eun-Sook Cho. Development of Metrics to Measure Reusability Quality of AIaaS. 2023; 28(12), 147-153. Available from: doi:10.9708/jksci.2023.28.12.147
Eun-Sook Cho. "Development of Metrics to Measure Reusability Quality of AIaaS" Journal of The Korea Society of Computer and Information 28, no.12 (2023) : 147-153.doi: 10.9708/jksci.2023.28.12.147
