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http://dx.doi.org/10.17661/jkiiect.2021.14.4.292

Model for Quality Assessment of Data Analytics Software in Manufacturing-Based IIoT Environments  

Choi, Jongseok (Spartan Software Education Institute, Soongsil University)
Shin, Yongtae (School of Computing, Soongsil University)
Publication Information
The Journal of Korea Institute of Information, Electronics, and Communication Technology / v.14, no.4, 2021 , pp. 292-299 More about this Journal
Abstract
A form of data mining software, based on manufacturing-based IIoT environment with the development of IT technologies are increasingly growing. However, it is difficult to evaluate the software quality in the same form as general software due to the characteristics of the software of a manufacturing company that has a large amount of data that needs to be carried out with big data and data mining. In addition, in a manufacturing-based environment where heterogeneous equipment and software are mixed, it is difficult to perform quality judgment on software used by applying existing quality characteristics. Therefore, in this paper, the characteristics of the manufacturing base are investigated, and a software quality evaluation model suitable for it is developed and evaluated.
Keywords
IIoT; Software Quality; Big-data Software; Data Analytics; Quality Assessment;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
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