Article 4224
Title of the article |
A methodology for assessing the quality of software products that include artificial intelligence in the tasks of document classification and recognition |
Authors |
Aleksandr N. Milovanov, Candidate of engineering sciences, systems analyst, “Logstrim” LLC (building 1, 15 Krzhizhanovsky street, Moscow, Russia), E-mail: amilovanov@logstream.ru |
Abstract |
The article presents the results of research conducted by the Russian IT company “Logstrim” to assess the quality of software products that include artificial intelligence in document classification and recognition tasks. During the research, a methodology was developed that allows us to evaluate the quality of software products that include artificial intelligence in document classification and recognition tasks. The developed methodology was used to evaluate the quality of the “ECO-DOC” software package, which includes the YOLO v5 neural network service, in document classification and recognition tasks. The results of testing and quality assessment of the ECO-DOC software package are presented. |
Key words |
methodology, software package quality assessment, neural network, artificial intelligence system, “ECO-DOC” software package, quality characteristics, quality indicators, quality indicator elements, functional correctness metrics |
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For citation: |
Milovanov A.N., Mistyukov A.A., Trusov D.A., Korshunov A.A. A methodology for assessing the quality of software products that in-clude artificial intelligence in the tasks of document classification and recognition. Povolzhskiy region. Tekhnicheskie nauki = University proceedings. Volga region. Engineering sciences. 2024;(2):58–72. (In Russ.). doi: 10.21685/2072-3059-2024-2-4 |
Дата обновления: 17.10.2024 14:33