Methods of classification of quality attributes of computer systems

Keywords: method, tool, classification, attribute, computer system, quality

Abstract

The main tasks of the master's thesis are the analysis of scientific works and the practice of implementing methods and tools for the classification of computer system quality features, researching the features of the process of ensuring the quality of computer systems, developing a method and means of classifying computer system quality features based on the quality characteristics presented in the text form An analysis of the subject area and the specifics of the process was carried out, the classification of the quality features of computer systems, the main entities and their properties were determined, the functional requirements for the software. The method of classification of the quality attributes of computer systems. classification using the C# language and ASP NET MVC technology.

References

1. Мар'ян М. В. Алгоритми ідентифікації об'єктів Інтернет речей на основі технології блокчейн / Algorithms for Internet things objects identifying based on blockchain technology [Електронний ресурс] / МУРИН Васильович Мар'ян // dspace.wunu.edu.ua. – 2018.
2. Brooks T. The key to understanding wireless connectivity in the industrial IoT [Електронний ресурс] / Tim Brooks // Infovista. – 2020.
3. Heiney S. Industrial Internet of Things (IIoT) Security: Everything You Need to Know [Електронний ресурс] / Sam Heiney // ImperoSoftw are. – 2021.
4. Shea S. LPWAN (low-power wide area network) [Електронний ресурс] / Sharon Shea // IoT Agenda.
5. EMnify. Cellular IoT: What Business Leaders Should Know [Електронний ресурс] / EMnify // EMnify. – 2020.

Abstract views: 0
PDF Downloads: 0
Published
2023-12-16
How to Cite
Chernyashchuk , N., Bortnyk, K., Tyschuk , M., Hnitetskyi , V., & Kucher , V. (2023). Methods of classification of quality attributes of computer systems. COMPUTER-INTEGRATED TECHNOLOGIES: EDUCATION, SCIENCE, PRODUCTION, (53), 239-245. https://doi.org/10.36910/6775-2524-0560-2023-53-36
Section
Computer science and computer engineering