Evaluation of Intelligent Information System

被引：0

作者：

Liu, Wenhong ^{[1
]}

Li, Yong ^{[2
]}

Huang, Bo ^{[2
]}

机构：

[1] Beijing Inst Tracking & Telecommun Technol, Beijing, Peoples R China

[2] Chengdu Guoxinan Informat Ind Base Co Ltd, Chengdu, Sichuan, Peoples R China

来源：

2022 IEEE 22ND INTERNATIONAL CONFERENCE ON SOFTWARE QUALITY, RELIABILITY, AND SECURITY COMPANION, QRS-C | 2022年

关键词：

Intelligent information system; artificial intelligence; data quality; model quality; evaluation study;

D O I：

10.1109/QRS-C57518.2022.00035

中图分类号：

TP31 [计算机软件];

学科分类号：

081202 ; 0835 ;

摘要：

While artificial intelligence evolves rapidly, intelligent information systems are making significant progress. The core of intelligent information systems is data and models. As a result, data quality and model quality are significant for ensuring the quality of intelligent information systems. However, traditional software testing methods can not adequately evaluate the quality of data and models. In this paper, we propose the data quality evaluation method and the model evaluation method. The experiment results show the two methods are effective.

引用

页码：183 / 188

页数：6

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