Formation of a knowledge base to support the process of architectural design of software systems

Автор: Guskov G.Y., Namestnikov A.M., Romanov A.A., Filippov A.A.

Журнал: Онтология проектирования @ontology-of-designing

Рубрика: Прикладные онтологии проектирования

Статья в выпуске: 2 (40) т.11, 2021 года.

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This article describes an approach to knowledge base (KB) formation for automating the process of architectural design of software systems (SS) based on the experience of previous projects. Software architecting is the presentation of software systems in the form of design artifacts and their architecture. When developing a new SS it is possible to improve its quality based on the experience of previous projects. The experience of previous projects is successful architectural solutions contained in the knowledge base of the design organization. Such a KB should be formed in the process of analyzing design artifacts extracted from previous projects: source code, project diagrams, data models, structured text resources, etc. This article describes a KB model of a design organization and a model of the 1C: Enterprise 8 (1C) application solution as an example of a design artifact. The article also presents a method for generating fragments of a KB in the process of analyzing an applied solution for the 1C application and a method for generating use-case diagrams based on the KB content. A set of experiments was executed to evaluate the adequacy of the proposed models and methods. The results of experiments for assessing quality in terms of accuracy (the presence of elements of the expert diagram in the generated diagram) and completeness (the presence of elements in the generated diagram that are absent in the expert diagram) are presented. According to the results of the experiments, the average value of accuracy is 0.875, and the completeness is 0.6.

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Architecting, software system, design artifact, knowledge base, design experience

Короткий адрес: https://sciup.org/170178882

IDR: 170178882   |   DOI: 10.18287/2223-9537-2021-11-2-154-169

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