Model-Based Design in the Telecommunication Equipment Quality Assessment System
Abstract
The relevance of the work is associated with a decrease in the accuracy of estimates of the quality of computing systems. Existing modeling methods do not allow solving all the problems that arise in the process of quality assessment. It is proposed to use a model-oriented approach, which is aimed at creating classes of models in accordance with quality characteristics, which allows you to structure information obtained from a ready-made sample of the system. The developed method consists of 8 steps: from the definition of terms, concepts and place in the subject area to mathematical models for evaluating the quality of computing systems. The method includes the creation of ontological and architectural models, hierarchical structures of the system, tables of relationships indicating the type of relationships. Parameterized models use quantitative and qualitative metrics – elements of quality indicators. Metric calculations are based on mathematical models that correspond to quality characteristics.
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Dyshlenko S. G. Complex computing systems // ITSEM: Information technologies in science, education and management. - 2019. - Vol. 13.- No. 3. - pp. 53-58.
GOST R ISO/IEC 25010-2015 Information technology. Systems and software engineering. Systems and software Quality Requirements and Evaluation (SQuaRE). System and software quality models. – M.: Standartinform, 2015 – 36 p.
Yarmolik S. V. Yarmolik, V. N. Quasi-random testing of computing systems // Informatics. - 2016. - No. 3. - pp. 65-81.
Lavrishcheva E. M. Software engineering. Paradigms, technologies and CASE tools: Studies for universities — 2nd ed., ispr. — M.: Yurayt Publishing House, 2016. — 280 p.
Levchuk T. V., Maslov A. A. The use of simulation modeling for the analysis of operational tests of software // The history and prospects of transport development in the north of Russia. - 2015. - No. 1. - pp. 32-34.
Kondratiev V. V. Model-oriented system engineering 2.0 / V.V. Kondratiev. - M.: MPTI, 2021. - p. 102.
Lapshin V. A. Ontologies in computer systems. The role of ontologies in modern computer science // RSDN Magazine. - 2009. - No. 4. - pp. 61-67.
Tanenbaum A. S. Structured computer organization, Upper Saddle River // NJ : Prentice Hall PTR. - p. 801. (Russ. ed. - 2011, St. Peterburg. - p. 844).
Harris D., Harris S. Digital Design and Computer Architecture // Morgan Kaufmann Publishers Inc. - p. 712. (Russ. ed. - 2018, Moscow. - p. 792).
Samuilov K.E., Shalimov I.A., Bunin I.G., Mironov Y.B. Model of functioning of telecommunication equipment of software-configurable networks // Modern information technologies and IT education. - Vol. 1. - No. 14. - pp. 13-26. doi: 10.25559/SITITO.14.201801.013-026.
Naryshkin K. V. Analysis of models for assessing the quality of a computer system // International Journal of Open Information Technologies. – 2023. – Vol. 11. – No. 10. – pp. 44-54.
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