Component Design of The Complex Software Systems, Based On Solutions’ Multivariant Synthesis
How to Cite?
Nikita Alexandrovich Ryndin, Sergey Vladimirovich Sapegin, "Component Design of The Complex Software Systems, Based On Solutions’ Multivariant Synthesis," International Journal of Engineering Trends and Technology, vol. 69, no. 12, pp. 280-286, 2021. Crossref, https://doi.org/10.14445/22315381/IJETT-V69I12P233
One of the most critical problems in software development is to find a balance between the allocated resources, quality, and planned functionality of the developed system. For large projects, it is hard to assess risks at the initial stage of development and allocate resources in such a way as to achieve an acceptable result. At the same time, the professional design of the developed system plays a significant role in achieving the result at the initial stage, which determines a realistic sequence of development stages. The article discusses issues of optimal design of complex software systems (CSS) based on a multivariable synthesis of design solutions. The existing methods of CSS design, their disadvantages related to the subjective approach to determining the parameters of the future system and significantly affecting the process and development result are considered. Method for selecting CSS components based on evaluations of conditional probabilities of sharing subsystems, third-party components and documents, calculation of multivariable integration entropies, and their minimization is proposed. The system architecture, which is optimal for this indicator, will help carry out the development under the terms of reference, at the specified time and with acceptable quality.
The main objective of the research is to find a formal way to design complex software systems more rationally, with a reduction of the human factor. We use multivariant synthesis as a main methodological approach. The paper is novel because, in contrast to general approaches aimed at increasing the importance of the human factor and organizing teamwork, it offers tools to rationalize architecture under proposed quality metrics based on an entropy approach.
complex software systems; multivariable synthesis; entropy; integration.
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