Keywords: software of computing complexes, quality assessment, quality characteristics, consistency of expert opinions, integrated quality indicator
Quality assessment of software of computing complexes based on expert data
UDC 519.72
DOI: 10.26102/2310-6018/2020.31.4.028
Software has already become an integral part of the life of any society. In the modern world, the functioning of any complex systems and complexes means interaction with the corresponding software. To solve this complex problem in one department manufacturers sometimes offer identical software options for computing complexes. Since the selection of optimal software involves considerable financial costs, the problem cannot be effectively solved without the involvement of experts in this field. In addition, the views of experts operating the software using a scientific approach are not currently taken into account, especially when assessing qualitative metrics that characterize its practicality. In this work, it is proposed to consider an alternative approach to assessing the quality characteristics of software during its operation and choosing the optimal software product from a certain set of analogues, based on the study of expert data. To solve this problem, the work proposes a method of forming a group of experts, presents an alternative method of assessing the consistency of expert opinions based on a metric coefficient, presents a method of forming a system of qualitative indicators of software based on the sign criterion, presents an algorithm for evaluating the quality of software of computer systems based on the analysis of expert data. The development of software for the implementation of the presented algorithm will be the development of the ideas set in this article.
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Keywords: software of computing complexes, quality assessment, quality characteristics, consistency of expert opinions, integrated quality indicator
For citation: Konobeevskikh V.V., Pitolin M.V. Quality assessment of software of computing complexes based on expert data. Modeling, Optimization and Information Technology. 2020;8(4). URL: https://moitvivt.ru/ru/journal/pdf?id=874 DOI: 10.26102/2310-6018/2020.31.4.028 (In Russ).
Published 31.12.2020